Overview

Dataset statistics

Number of variables369
Number of observations191,652
Missing cells13,864,522
Missing cells (%)19.6%
Total size in memory539.5 MiB
Average record size in memory2.9 KiB

Variable types

Numeric361
Categorical6
Unsupported2

Warnings

EINGEFUEGT_AM has a high cardinality: 3034 distinct values High cardinality
AKT_DAT_KL has 46596 (24.3%) missing values Missing
ALTER_HH has 46596 (24.3%) missing values Missing
ALTER_KIND1 has 179886 (93.9%) missing values Missing
ALTER_KIND2 has 186552 (97.3%) missing values Missing
ALTER_KIND3 has 190377 (99.3%) missing values Missing
ALTER_KIND4 has 191416 (99.9%) missing values Missing
ALTERSKATEGORIE_FEIN has 51842 (27.1%) missing values Missing
ANZ_HAUSHALTE_AKTIV has 49927 (26.1%) missing values Missing
ANZ_HH_TITEL has 52110 (27.2%) missing values Missing
ANZ_KINDER has 46596 (24.3%) missing values Missing
ANZ_PERSONEN has 46596 (24.3%) missing values Missing
ANZ_STATISTISCHE_HAUSHALTE has 49927 (26.1%) missing values Missing
ANZ_TITEL has 46596 (24.3%) missing values Missing
ARBEIT has 50476 (26.3%) missing values Missing
BALLRAUM has 49959 (26.1%) missing values Missing
CAMEO_DEU_2015 has 50428 (26.3%) missing values Missing
CAMEO_DEUG_2015 has 50428 (26.3%) missing values Missing
CAMEO_INTL_2015 has 50428 (26.3%) missing values Missing
CJT_GESAMTTYP has 3213 (1.7%) missing values Missing
CJT_KATALOGNUTZER has 3213 (1.7%) missing values Missing
CJT_TYP_1 has 3213 (1.7%) missing values Missing
CJT_TYP_2 has 3213 (1.7%) missing values Missing
CJT_TYP_3 has 3213 (1.7%) missing values Missing
CJT_TYP_4 has 3213 (1.7%) missing values Missing
CJT_TYP_5 has 3213 (1.7%) missing values Missing
CJT_TYP_6 has 3213 (1.7%) missing values Missing
D19_BANKEN_ONLINE_QUOTE_12 has 47697 (24.9%) missing values Missing
D19_GESAMT_ONLINE_QUOTE_12 has 47697 (24.9%) missing values Missing
D19_KONSUMTYP has 47697 (24.9%) missing values Missing
D19_LETZTER_KAUF_BRANCHE has 47697 (24.9%) missing values Missing
D19_LOTTO has 47697 (24.9%) missing values Missing
D19_SOZIALES has 47697 (24.9%) missing values Missing
D19_TELKO_ONLINE_QUOTE_12 has 47697 (24.9%) missing values Missing
D19_VERSAND_ONLINE_QUOTE_12 has 47697 (24.9%) missing values Missing
D19_VERSI_ONLINE_QUOTE_12 has 47697 (24.9%) missing values Missing
DSL_FLAG has 49927 (26.1%) missing values Missing
EINGEFUEGT_AM has 49927 (26.1%) missing values Missing
EINGEZOGENAM_HH_JAHR has 46596 (24.3%) missing values Missing
EWDICHTE has 49959 (26.1%) missing values Missing
EXTSEL992 has 85283 (44.5%) missing values Missing
FIRMENDICHTE has 49927 (26.1%) missing values Missing
GEBAEUDETYP has 49927 (26.1%) missing values Missing
GEBAEUDETYP_RASTER has 49927 (26.1%) missing values Missing
GEMEINDETYP has 50476 (26.3%) missing values Missing
GFK_URLAUBERTYP has 3213 (1.7%) missing values Missing
HH_DELTA_FLAG has 53742 (28.0%) missing values Missing
HH_EINKOMMEN_SCORE has 2968 (1.5%) missing values Missing
INNENSTADT has 49959 (26.1%) missing values Missing
KBA05_ALTER1 has 55980 (29.2%) missing values Missing
KBA05_ALTER2 has 55980 (29.2%) missing values Missing
KBA05_ALTER3 has 55980 (29.2%) missing values Missing
KBA05_ALTER4 has 55980 (29.2%) missing values Missing
KBA05_ANHANG has 55980 (29.2%) missing values Missing
KBA05_ANTG1 has 55980 (29.2%) missing values Missing
KBA05_ANTG2 has 55980 (29.2%) missing values Missing
KBA05_ANTG3 has 55980 (29.2%) missing values Missing
KBA05_ANTG4 has 55980 (29.2%) missing values Missing
KBA05_AUTOQUOT has 55980 (29.2%) missing values Missing
KBA05_BAUMAX has 55980 (29.2%) missing values Missing
KBA05_CCM1 has 55980 (29.2%) missing values Missing
KBA05_CCM2 has 55980 (29.2%) missing values Missing
KBA05_CCM3 has 55980 (29.2%) missing values Missing
KBA05_CCM4 has 55980 (29.2%) missing values Missing
KBA05_DIESEL has 55980 (29.2%) missing values Missing
KBA05_FRAU has 55980 (29.2%) missing values Missing
KBA05_GBZ has 55980 (29.2%) missing values Missing
KBA05_HERST1 has 55980 (29.2%) missing values Missing
KBA05_HERST2 has 55980 (29.2%) missing values Missing
KBA05_HERST3 has 55980 (29.2%) missing values Missing
KBA05_HERST4 has 55980 (29.2%) missing values Missing
KBA05_HERST5 has 55980 (29.2%) missing values Missing
KBA05_HERSTTEMP has 49927 (26.1%) missing values Missing
KBA05_KRSAQUOT has 55980 (29.2%) missing values Missing
KBA05_KRSHERST1 has 55980 (29.2%) missing values Missing
KBA05_KRSHERST2 has 55980 (29.2%) missing values Missing
KBA05_KRSHERST3 has 55980 (29.2%) missing values Missing
KBA05_KRSKLEIN has 55980 (29.2%) missing values Missing
KBA05_KRSOBER has 55980 (29.2%) missing values Missing
KBA05_KRSVAN has 55980 (29.2%) missing values Missing
KBA05_KRSZUL has 55980 (29.2%) missing values Missing
KBA05_KW1 has 55980 (29.2%) missing values Missing
KBA05_KW2 has 55980 (29.2%) missing values Missing
KBA05_KW3 has 55980 (29.2%) missing values Missing
KBA05_MAXAH has 55980 (29.2%) missing values Missing
KBA05_MAXBJ has 55980 (29.2%) missing values Missing
KBA05_MAXHERST has 55980 (29.2%) missing values Missing
KBA05_MAXSEG has 55980 (29.2%) missing values Missing
KBA05_MAXVORB has 55980 (29.2%) missing values Missing
KBA05_MOD1 has 55980 (29.2%) missing values Missing
KBA05_MOD2 has 55980 (29.2%) missing values Missing
KBA05_MOD3 has 55980 (29.2%) missing values Missing
KBA05_MOD4 has 55980 (29.2%) missing values Missing
KBA05_MOD8 has 55980 (29.2%) missing values Missing
KBA05_MODTEMP has 49927 (26.1%) missing values Missing
KBA05_MOTOR has 55980 (29.2%) missing values Missing
KBA05_MOTRAD has 55980 (29.2%) missing values Missing
KBA05_SEG1 has 55980 (29.2%) missing values Missing
KBA05_SEG10 has 55980 (29.2%) missing values Missing
KBA05_SEG2 has 55980 (29.2%) missing values Missing
KBA05_SEG3 has 55980 (29.2%) missing values Missing
KBA05_SEG4 has 55980 (29.2%) missing values Missing
KBA05_SEG5 has 55980 (29.2%) missing values Missing
KBA05_SEG6 has 55980 (29.2%) missing values Missing
KBA05_SEG7 has 55980 (29.2%) missing values Missing
KBA05_SEG8 has 55980 (29.2%) missing values Missing
KBA05_SEG9 has 55980 (29.2%) missing values Missing
KBA05_VORB0 has 55980 (29.2%) missing values Missing
KBA05_VORB1 has 55980 (29.2%) missing values Missing
KBA05_VORB2 has 55980 (29.2%) missing values Missing
KBA05_ZUL1 has 55980 (29.2%) missing values Missing
KBA05_ZUL2 has 55980 (29.2%) missing values Missing
KBA05_ZUL3 has 55980 (29.2%) missing values Missing
KBA05_ZUL4 has 55980 (29.2%) missing values Missing
KBA13_ALTERHALTER_30 has 51281 (26.8%) missing values Missing
KBA13_ALTERHALTER_45 has 51281 (26.8%) missing values Missing
KBA13_ALTERHALTER_60 has 51281 (26.8%) missing values Missing
KBA13_ALTERHALTER_61 has 51281 (26.8%) missing values Missing
KBA13_ANTG1 has 51281 (26.8%) missing values Missing
KBA13_ANTG2 has 51281 (26.8%) missing values Missing
KBA13_ANTG3 has 51281 (26.8%) missing values Missing
KBA13_ANTG4 has 51281 (26.8%) missing values Missing
KBA13_ANZAHL_PKW has 51281 (26.8%) missing values Missing
KBA13_AUDI has 51281 (26.8%) missing values Missing
KBA13_AUTOQUOTE has 51281 (26.8%) missing values Missing
KBA13_BAUMAX has 51281 (26.8%) missing values Missing
KBA13_BJ_1999 has 51281 (26.8%) missing values Missing
KBA13_BJ_2000 has 51281 (26.8%) missing values Missing
KBA13_BJ_2004 has 51281 (26.8%) missing values Missing
KBA13_BJ_2006 has 51281 (26.8%) missing values Missing
KBA13_BJ_2008 has 51281 (26.8%) missing values Missing
KBA13_BJ_2009 has 51281 (26.8%) missing values Missing
KBA13_BMW has 51281 (26.8%) missing values Missing
KBA13_CCM_0_1400 has 51281 (26.8%) missing values Missing
KBA13_CCM_1000 has 51281 (26.8%) missing values Missing
KBA13_CCM_1200 has 51281 (26.8%) missing values Missing
KBA13_CCM_1400 has 51281 (26.8%) missing values Missing
KBA13_CCM_1401_2500 has 51281 (26.8%) missing values Missing
KBA13_CCM_1500 has 51281 (26.8%) missing values Missing
KBA13_CCM_1600 has 51281 (26.8%) missing values Missing
KBA13_CCM_1800 has 51281 (26.8%) missing values Missing
KBA13_CCM_2000 has 51281 (26.8%) missing values Missing
KBA13_CCM_2500 has 51281 (26.8%) missing values Missing
KBA13_CCM_2501 has 51281 (26.8%) missing values Missing
KBA13_CCM_3000 has 51281 (26.8%) missing values Missing
KBA13_CCM_3001 has 51281 (26.8%) missing values Missing
KBA13_FAB_ASIEN has 51281 (26.8%) missing values Missing
KBA13_FAB_SONSTIGE has 51281 (26.8%) missing values Missing
KBA13_FIAT has 51281 (26.8%) missing values Missing
KBA13_FORD has 51281 (26.8%) missing values Missing
KBA13_GBZ has 51281 (26.8%) missing values Missing
KBA13_HALTER_20 has 51281 (26.8%) missing values Missing
KBA13_HALTER_25 has 51281 (26.8%) missing values Missing
KBA13_HALTER_30 has 51281 (26.8%) missing values Missing
KBA13_HALTER_35 has 51281 (26.8%) missing values Missing
KBA13_HALTER_40 has 51281 (26.8%) missing values Missing
KBA13_HALTER_45 has 51281 (26.8%) missing values Missing
KBA13_HALTER_50 has 51281 (26.8%) missing values Missing
KBA13_HALTER_55 has 51281 (26.8%) missing values Missing
KBA13_HALTER_60 has 51281 (26.8%) missing values Missing
KBA13_HALTER_65 has 51281 (26.8%) missing values Missing
KBA13_HALTER_66 has 51281 (26.8%) missing values Missing
KBA13_HERST_ASIEN has 51281 (26.8%) missing values Missing
KBA13_HERST_AUDI_VW has 51281 (26.8%) missing values Missing
KBA13_HERST_BMW_BENZ has 51281 (26.8%) missing values Missing
KBA13_HERST_EUROPA has 51281 (26.8%) missing values Missing
KBA13_HERST_FORD_OPEL has 51281 (26.8%) missing values Missing
KBA13_HERST_SONST has 51281 (26.8%) missing values Missing
KBA13_HHZ has 51281 (26.8%) missing values Missing
KBA13_KMH_0_140 has 51281 (26.8%) missing values Missing
KBA13_KMH_110 has 51281 (26.8%) missing values Missing
KBA13_KMH_140 has 51281 (26.8%) missing values Missing
KBA13_KMH_140_210 has 51281 (26.8%) missing values Missing
KBA13_KMH_180 has 51281 (26.8%) missing values Missing
KBA13_KMH_210 has 51281 (26.8%) missing values Missing
KBA13_KMH_211 has 51281 (26.8%) missing values Missing
KBA13_KMH_250 has 51281 (26.8%) missing values Missing
KBA13_KMH_251 has 51281 (26.8%) missing values Missing
KBA13_KRSAQUOT has 51281 (26.8%) missing values Missing
KBA13_KRSHERST_AUDI_VW has 51281 (26.8%) missing values Missing
KBA13_KRSHERST_BMW_BENZ has 51281 (26.8%) missing values Missing
KBA13_KRSHERST_FORD_OPEL has 51281 (26.8%) missing values Missing
KBA13_KRSSEG_KLEIN has 51281 (26.8%) missing values Missing
KBA13_KRSSEG_OBER has 51281 (26.8%) missing values Missing
KBA13_KRSSEG_VAN has 51281 (26.8%) missing values Missing
KBA13_KRSZUL_NEU has 51281 (26.8%) missing values Missing
KBA13_KW_0_60 has 51281 (26.8%) missing values Missing
KBA13_KW_110 has 51281 (26.8%) missing values Missing
KBA13_KW_120 has 51281 (26.8%) missing values Missing
KBA13_KW_121 has 51281 (26.8%) missing values Missing
KBA13_KW_30 has 51281 (26.8%) missing values Missing
KBA13_KW_40 has 51281 (26.8%) missing values Missing
KBA13_KW_50 has 51281 (26.8%) missing values Missing
KBA13_KW_60 has 51281 (26.8%) missing values Missing
KBA13_KW_61_120 has 51281 (26.8%) missing values Missing
KBA13_KW_70 has 51281 (26.8%) missing values Missing
KBA13_KW_80 has 51281 (26.8%) missing values Missing
KBA13_KW_90 has 51281 (26.8%) missing values Missing
KBA13_MAZDA has 51281 (26.8%) missing values Missing
KBA13_MERCEDES has 51281 (26.8%) missing values Missing
KBA13_MOTOR has 51281 (26.8%) missing values Missing
KBA13_NISSAN has 51281 (26.8%) missing values Missing
KBA13_OPEL has 51281 (26.8%) missing values Missing
KBA13_PEUGEOT has 51281 (26.8%) missing values Missing
KBA13_RENAULT has 51281 (26.8%) missing values Missing
KBA13_SEG_GELAENDEWAGEN has 51281 (26.8%) missing values Missing
KBA13_SEG_GROSSRAUMVANS has 51281 (26.8%) missing values Missing
KBA13_SEG_KLEINST has 51281 (26.8%) missing values Missing
KBA13_SEG_KLEINWAGEN has 51281 (26.8%) missing values Missing
KBA13_SEG_KOMPAKTKLASSE has 51281 (26.8%) missing values Missing
KBA13_SEG_MINIVANS has 51281 (26.8%) missing values Missing
KBA13_SEG_MINIWAGEN has 51281 (26.8%) missing values Missing
KBA13_SEG_MITTELKLASSE has 51281 (26.8%) missing values Missing
KBA13_SEG_OBEREMITTELKLASSE has 51281 (26.8%) missing values Missing
KBA13_SEG_OBERKLASSE has 51281 (26.8%) missing values Missing
KBA13_SEG_SONSTIGE has 51281 (26.8%) missing values Missing
KBA13_SEG_SPORTWAGEN has 51281 (26.8%) missing values Missing
KBA13_SEG_UTILITIES has 51281 (26.8%) missing values Missing
KBA13_SEG_VAN has 51281 (26.8%) missing values Missing
KBA13_SEG_WOHNMOBILE has 51281 (26.8%) missing values Missing
KBA13_SITZE_4 has 51281 (26.8%) missing values Missing
KBA13_SITZE_5 has 51281 (26.8%) missing values Missing
KBA13_SITZE_6 has 51281 (26.8%) missing values Missing
KBA13_TOYOTA has 51281 (26.8%) missing values Missing
KBA13_VORB_0 has 51281 (26.8%) missing values Missing
KBA13_VORB_1 has 51281 (26.8%) missing values Missing
KBA13_VORB_1_2 has 51281 (26.8%) missing values Missing
KBA13_VORB_2 has 51281 (26.8%) missing values Missing
KBA13_VORB_3 has 51281 (26.8%) missing values Missing
KBA13_VW has 51281 (26.8%) missing values Missing
KK_KUNDENTYP has 111937 (58.4%) missing values Missing
KKK has 54260 (28.3%) missing values Missing
KONSUMNAEHE has 46651 (24.3%) missing values Missing
KONSUMZELLE has 49927 (26.1%) missing values Missing
LP_FAMILIE_FEIN has 3213 (1.7%) missing values Missing
LP_FAMILIE_GROB has 3213 (1.7%) missing values Missing
LP_LEBENSPHASE_FEIN has 3213 (1.7%) missing values Missing
LP_LEBENSPHASE_GROB has 3213 (1.7%) missing values Missing
LP_STATUS_FEIN has 3213 (1.7%) missing values Missing
LP_STATUS_GROB has 3213 (1.7%) missing values Missing
MIN_GEBAEUDEJAHR has 49927 (26.1%) missing values Missing
MOBI_RASTER has 49927 (26.1%) missing values Missing
MOBI_REGIO has 55980 (29.2%) missing values Missing
ONLINE_AFFINITAET has 3213 (1.7%) missing values Missing
ORTSGR_KLS9 has 50476 (26.3%) missing values Missing
OST_WEST_KZ has 49927 (26.1%) missing values Missing
PLZ8_ANTG1 has 52764 (27.5%) missing values Missing
PLZ8_ANTG2 has 52764 (27.5%) missing values Missing
PLZ8_ANTG3 has 52764 (27.5%) missing values Missing
PLZ8_ANTG4 has 52764 (27.5%) missing values Missing
PLZ8_BAUMAX has 52764 (27.5%) missing values Missing
PLZ8_GBZ has 52764 (27.5%) missing values Missing
PLZ8_HHZ has 52764 (27.5%) missing values Missing
REGIOTYP has 54260 (28.3%) missing values Missing
RELAT_AB has 50476 (26.3%) missing values Missing
RETOURTYP_BK_S has 3213 (1.7%) missing values Missing
RT_KEIN_ANREIZ has 3213 (1.7%) missing values Missing
RT_SCHNAEPPCHEN has 3213 (1.7%) missing values Missing
RT_UEBERGROESSE has 44192 (23.1%) missing values Missing
SOHO_KZ has 46596 (24.3%) missing values Missing
STRUKTURTYP has 50476 (26.3%) missing values Missing
TITEL_KZ has 46596 (24.3%) missing values Missing
UMFELD_ALT has 50448 (26.3%) missing values Missing
UMFELD_JUNG has 50448 (26.3%) missing values Missing
UNGLEICHENN_FLAG has 46596 (24.3%) missing values Missing
VERDICHTUNGSRAUM has 50476 (26.3%) missing values Missing
VHA has 46596 (24.3%) missing values Missing
VHN has 54260 (28.3%) missing values Missing
VK_DHT4A has 47871 (25.0%) missing values Missing
VK_DISTANZ has 47871 (25.0%) missing values Missing
VK_ZG11 has 47871 (25.0%) missing values Missing
W_KEIT_KIND_HH has 53742 (28.0%) missing values Missing
WOHNDAUER_2008 has 46596 (24.3%) missing values Missing
WOHNLAGE has 49927 (26.1%) missing values Missing
ANZ_HH_TITEL is highly skewed (γ1 = 21.21510331) Skewed
D19_TELKO_ONLINE_QUOTE_12 is highly skewed (γ1 = 27.06539429) Skewed
D19_VERSI_ONLINE_QUOTE_12 is highly skewed (γ1 = 23.83343863) Skewed
LNR has unique values Unique
CAMEO_DEUG_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
CAMEO_INTL_2015 is an unsupported type, check if it needs cleaning or further analysis Unsupported
AGER_TYP has 4631 (2.4%) zeros Zeros
ALTER_HH has 22151 (11.6%) zeros Zeros
ALTERSKATEGORIE_FEIN has 11019 (5.7%) zeros Zeros
ANZ_HAUSHALTE_AKTIV has 2450 (1.3%) zeros Zeros
ANZ_HH_TITEL has 133454 (69.6%) zeros Zeros
ANZ_KINDER has 132284 (69.0%) zeros Zeros
ANZ_PERSONEN has 7146 (3.7%) zeros Zeros
ANZ_TITEL has 142316 (74.3%) zeros Zeros
D19_BANKEN_ANZ_12 has 180150 (94.0%) zeros Zeros
D19_BANKEN_ANZ_24 has 173701 (90.6%) zeros Zeros
D19_BANKEN_DIREKT has 166726 (87.0%) zeros Zeros
D19_BANKEN_GROSS has 175064 (91.3%) zeros Zeros
D19_BANKEN_LOKAL has 187347 (97.8%) zeros Zeros
D19_BANKEN_ONLINE_QUOTE_12 has 137161 (71.6%) zeros Zeros
D19_BANKEN_REST has 176243 (92.0%) zeros Zeros
D19_BEKLEIDUNG_GEH has 154242 (80.5%) zeros Zeros
D19_BEKLEIDUNG_REST has 137848 (71.9%) zeros Zeros
D19_BILDUNG has 155747 (81.3%) zeros Zeros
D19_BIO_OEKO has 174542 (91.1%) zeros Zeros
D19_BUCH_CD has 102937 (53.7%) zeros Zeros
D19_DIGIT_SERV has 183539 (95.8%) zeros Zeros
D19_DROGERIEARTIKEL has 160837 (83.9%) zeros Zeros
D19_ENERGIE has 172916 (90.2%) zeros Zeros
D19_FREIZEIT has 166363 (86.8%) zeros Zeros
D19_GARTEN has 179969 (93.9%) zeros Zeros
D19_GESAMT_ANZ_12 has 111999 (58.4%) zeros Zeros
D19_GESAMT_ANZ_24 has 91722 (47.9%) zeros Zeros
D19_GESAMT_ONLINE_QUOTE_12 has 86879 (45.3%) zeros Zeros
D19_HANDWERK has 143537 (74.9%) zeros Zeros
D19_HAUS_DEKO has 132811 (69.3%) zeros Zeros
D19_KINDERARTIKEL has 153651 (80.2%) zeros Zeros
D19_KOSMETIK has 139367 (72.7%) zeros Zeros
D19_LEBENSMITTEL has 170971 (89.2%) zeros Zeros
D19_LOTTO has 88281 (46.1%) zeros Zeros
D19_NAHRUNGSERGAENZUNG has 174094 (90.8%) zeros Zeros
D19_RATGEBER has 161270 (84.1%) zeros Zeros
D19_REISEN has 134825 (70.3%) zeros Zeros
D19_SAMMELARTIKEL has 145113 (75.7%) zeros Zeros
D19_SCHUHE has 163720 (85.4%) zeros Zeros
D19_SONSTIGE has 76573 (40.0%) zeros Zeros
D19_SOZIALES has 22750 (11.9%) zeros Zeros
D19_TECHNIK has 117416 (61.3%) zeros Zeros
D19_TELKO_ANZ_12 has 184467 (96.3%) zeros Zeros
D19_TELKO_ANZ_24 has 178411 (93.1%) zeros Zeros
D19_TELKO_MOBILE has 159544 (83.2%) zeros Zeros
D19_TELKO_ONLINE_QUOTE_12 has 143757 (75.0%) zeros Zeros
D19_TELKO_REST has 168650 (88.0%) zeros Zeros
D19_TIERARTIKEL has 183788 (95.9%) zeros Zeros
D19_VERSAND_ANZ_12 has 122306 (63.8%) zeros Zeros
D19_VERSAND_ANZ_24 has 102484 (53.5%) zeros Zeros
D19_VERSAND_ONLINE_QUOTE_12 has 92458 (48.2%) zeros Zeros
D19_VERSAND_REST has 161199 (84.1%) zeros Zeros
D19_VERSI_ANZ_12 has 177236 (92.5%) zeros Zeros
D19_VERSI_ANZ_24 has 168832 (88.1%) zeros Zeros
D19_VERSI_ONLINE_QUOTE_12 has 143697 (75.0%) zeros Zeros
D19_VERSICHERUNGEN has 144720 (75.5%) zeros Zeros
D19_VOLLSORTIMENT has 108259 (56.5%) zeros Zeros
D19_WEIN_FEINKOST has 166431 (86.8%) zeros Zeros
DSL_FLAG has 3231 (1.7%) zeros Zeros
GEBURTSJAHR has 93024 (48.5%) zeros Zeros
GREEN_AVANTGARDE has 121283 (63.3%) zeros Zeros
HH_DELTA_FLAG has 117263 (61.2%) zeros Zeros
KBA05_ALTER1 has 22932 (12.0%) zeros Zeros
KBA05_ALTER4 has 2435 (1.3%) zeros Zeros
KBA05_ANHANG has 36170 (18.9%) zeros Zeros
KBA05_ANTG1 has 22465 (11.7%) zeros Zeros
KBA05_ANTG2 has 43729 (22.8%) zeros Zeros
KBA05_ANTG3 has 112655 (58.8%) zeros Zeros
KBA05_ANTG4 has 121487 (63.4%) zeros Zeros
KBA05_BAUMAX has 53555 (27.9%) zeros Zeros
KBA05_CCM4 has 32427 (16.9%) zeros Zeros
KBA05_DIESEL has 5076 (2.6%) zeros Zeros
KBA05_HERST1 has 5354 (2.8%) zeros Zeros
KBA05_HERST3 has 1918 (1.0%) zeros Zeros
KBA05_HERST4 has 3323 (1.7%) zeros Zeros
KBA05_HERST5 has 6536 (3.4%) zeros Zeros
KBA05_KW3 has 20709 (10.8%) zeros Zeros
KBA05_MOD1 has 32586 (17.0%) zeros Zeros
KBA05_MOD4 has 5107 (2.7%) zeros Zeros
KBA05_MOD8 has 26798 (14.0%) zeros Zeros
KBA05_MOTRAD has 26539 (13.8%) zeros Zeros
KBA05_SEG1 has 36867 (19.2%) zeros Zeros
KBA05_SEG10 has 9635 (5.0%) zeros Zeros
KBA05_SEG5 has 18467 (9.6%) zeros Zeros
KBA05_SEG6 has 111010 (57.9%) zeros Zeros
KBA05_SEG7 has 53730 (28.0%) zeros Zeros
KBA05_SEG8 has 54785 (28.6%) zeros Zeros
KBA05_SEG9 has 34324 (17.9%) zeros Zeros
KBA05_VORB2 has 11641 (6.1%) zeros Zeros
KBA05_ZUL3 has 5137 (2.7%) zeros Zeros
KBA05_ZUL4 has 8776 (4.6%) zeros Zeros
KBA13_ANTG3 has 25498 (13.3%) zeros Zeros
KBA13_ANTG4 has 78976 (41.2%) zeros Zeros
KBA13_BJ_2008 has 19625 (10.2%) zeros Zeros
KBA13_BJ_2009 has 16351 (8.5%) zeros Zeros
KBA13_CCM_0_1400 has 28511 (14.9%) zeros Zeros
KBA13_CCM_1000 has 19982 (10.4%) zeros Zeros
KBA13_CCM_1200 has 29378 (15.3%) zeros Zeros
KBA13_CCM_1800 has 24878 (13.0%) zeros Zeros
KBA13_CCM_2500 has 15780 (8.2%) zeros Zeros
KBA13_CCM_2501 has 14392 (7.5%) zeros Zeros
KBA13_CCM_3000 has 9117 (4.8%) zeros Zeros
KBA13_KMH_0_140 has 21541 (11.2%) zeros Zeros
KBA13_KMH_211 has 20007 (10.4%) zeros Zeros
KBA13_KMH_250 has 20125 (10.5%) zeros Zeros
KBA13_KRSZUL_NEU has 2676 (1.4%) zeros Zeros
KBA13_KW_110 has 19148 (10.0%) zeros Zeros
KBA13_KW_120 has 17157 (9.0%) zeros Zeros
KBA13_KW_121 has 15218 (7.9%) zeros Zeros
KBA13_KW_40 has 19498 (10.2%) zeros Zeros
KBA13_KW_50 has 29204 (15.2%) zeros Zeros
KBA13_KW_60 has 24799 (12.9%) zeros Zeros
KBA13_KW_70 has 27083 (14.1%) zeros Zeros
KBA13_KW_80 has 23396 (12.2%) zeros Zeros
KBA13_KW_90 has 23538 (12.3%) zeros Zeros
KBA13_SEG_OBERKLASSE has 14998 (7.8%) zeros Zeros
KBA13_SEG_SPORTWAGEN has 14430 (7.5%) zeros Zeros
KBA13_SEG_WOHNMOBILE has 15839 (8.3%) zeros Zeros
KBA13_VORB_3 has 31766 (16.6%) zeros Zeros
KKK has 5804 (3.0%) zeros Zeros
KONSUMZELLE has 116619 (60.8%) zeros Zeros
LP_FAMILIE_FEIN has 47369 (24.7%) zeros Zeros
LP_FAMILIE_GROB has 47369 (24.7%) zeros Zeros
LP_LEBENSPHASE_FEIN has 47840 (25.0%) zeros Zeros
LP_LEBENSPHASE_GROB has 47728 (24.9%) zeros Zeros
NATIONALITAET_KZ has 48750 (25.4%) zeros Zeros
ONLINE_AFFINITAET has 4110 (2.1%) zeros Zeros
PLZ8_ANTG3 has 23001 (12.0%) zeros Zeros
PLZ8_ANTG4 has 74829 (39.0%) zeros Zeros
PRAEGENDE_JUGENDJAHRE has 48487 (25.3%) zeros Zeros
REGIOTYP has 5804 (3.0%) zeros Zeros
SHOPPER_TYP has 30054 (15.7%) zeros Zeros
SOHO_KZ has 143625 (74.9%) zeros Zeros
TITEL_KZ has 142744 (74.5%) zeros Zeros
UNGLEICHENN_FLAG has 132763 (69.3%) zeros Zeros
VERDICHTUNGSRAUM has 65984 (34.4%) zeros Zeros
VHA has 74250 (38.7%) zeros Zeros
VHN has 5804 (3.0%) zeros Zeros
W_KEIT_KIND_HH has 3195 (1.7%) zeros Zeros
ONLINE_PURCHASE has 174356 (91.0%) zeros Zeros

Reproduction

Analysis started2021-05-29 14:54:55.244285
Analysis finished2021-05-29 14:55:00.604002
Duration5.36 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

LNR
Real number (ℝ≥0)

UNIQUE

Distinct191652
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95826.5
Minimum1
Maximum191652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:00.721359image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9583.55
Q147913.75
median95826.5
Q3143739.25
95-th percentile182069.45
Maximum191652
Range191651
Interquartile range (IQR)95825.5

Descriptive statistics

Standard deviation55325.31123
Coefficient of variation (CV)0.5773487629
Kurtosis-1.2
Mean95826.5
Median Absolute Deviation (MAD)47913
Skewness-4.929942205 × 10-19
Sum1.836534038 × 1010
Variance3060890063
MonotonicityNot monotonic
2021-05-29T15:55:00.960437image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20491
 
< 0.1%
396221
 
< 0.1%
1481251
 
< 0.1%
1542701
 
< 0.1%
1522231
 
< 0.1%
437121
 
< 0.1%
416651
 
< 0.1%
478101
 
< 0.1%
457631
 
< 0.1%
355241
 
< 0.1%
Other values (191642)191642
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
ValueCountFrequency (%)
1916521
< 0.1%
1916511
< 0.1%
1916501
< 0.1%
1916491
< 0.1%
1916481
< 0.1%

AGER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3443585248
Minimum-1
Maximum3
Zeros4631
Zeros (%)2.4%
Negative92107
Negative (%)48.1%
Memory size1.5 MiB
2021-05-29T15:55:01.129052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q32
95-th percentile2
Maximum3
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.391672212
Coefficient of variation (CV)4.04134677
Kurtosis-1.492534609
Mean0.3443585248
Median Absolute Deviation (MAD)1
Skewness0.3053870479
Sum65997
Variance1.936751545
MonotonicityNot monotonic
2021-05-29T15:55:01.236464image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-192107
48.1%
245874
23.9%
140382
21.1%
38658
 
4.5%
04631
 
2.4%
ValueCountFrequency (%)
-192107
48.1%
04631
 
2.4%
140382
21.1%
245874
23.9%
38658
 
4.5%
ValueCountFrequency (%)
38658
 
4.5%
245874
23.9%
140382
21.1%
04631
 
2.4%
-192107
48.1%

AKT_DAT_KL
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean1.747525094
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:01.330878image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.966333812
Coefficient of variation (CV)1.12521063
Kurtosis6.537006582
Mean1.747525094
Median Absolute Deviation (MAD)0
Skewness2.767734543
Sum253489
Variance3.86646866
MonotonicityNot monotonic
2021-05-29T15:55:01.452185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1119535
62.4%
26214
 
3.2%
95981
 
3.1%
54096
 
2.1%
32516
 
1.3%
42311
 
1.2%
71649
 
0.9%
61575
 
0.8%
81179
 
0.6%
(Missing)46596
 
24.3%
ValueCountFrequency (%)
1119535
62.4%
26214
 
3.2%
32516
 
1.3%
42311
 
1.2%
54096
 
2.1%
ValueCountFrequency (%)
95981
3.1%
81179
 
0.6%
71649
 
0.9%
61575
 
0.8%
54096
2.1%

ALTER_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean11.35200888
Minimum0
Maximum21
Zeros22151
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:01.552859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median11
Q316
95-th percentile21
Maximum21
Range21
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.275026252
Coefficient of variation (CV)0.5527679126
Kurtosis-0.642090923
Mean11.35200888
Median Absolute Deviation (MAD)4
Skewness-0.406629953
Sum1646677
Variance39.37595446
MonotonicityNot monotonic
2021-05-29T15:55:01.650773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
022151
11.6%
1014488
 
7.6%
912976
 
6.8%
119009
 
4.7%
218503
 
4.4%
88111
 
4.2%
168011
 
4.2%
127779
 
4.1%
157737
 
4.0%
177332
 
3.8%
Other values (11)38959
20.3%
(Missing)46596
24.3%
ValueCountFrequency (%)
022151
11.6%
213
 
< 0.1%
315
 
< 0.1%
452
 
< 0.1%
5228
 
0.1%
ValueCountFrequency (%)
218503
4.4%
206554
3.4%
196136
3.2%
186450
3.4%
177332
3.8%

ALTER_KIND1
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.1%
Missing179886
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean12.3372429
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:01.741647image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q19
median13
Q316
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.006049613
Coefficient of variation (CV)0.3247119024
Kurtosis-0.9258573891
Mean12.3372429
Median Absolute Deviation (MAD)3
Skewness-0.3197443551
Sum145160
Variance16.0484335
MonotonicityNot monotonic
2021-05-29T15:55:01.845362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
181158
 
0.6%
171076
 
0.6%
151030
 
0.5%
161027
 
0.5%
14949
 
0.5%
13882
 
0.5%
11813
 
0.4%
12791
 
0.4%
10779
 
0.4%
8766
 
0.4%
Other values (7)2495
 
1.3%
(Missing)179886
93.9%
ValueCountFrequency (%)
236
 
< 0.1%
3130
 
0.1%
4116
 
0.1%
5179
 
0.1%
6548
0.3%
ValueCountFrequency (%)
181158
0.6%
171076
0.6%
161027
0.5%
151030
0.5%
14949
0.5%

ALTER_KIND2
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.3%
Missing186552
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean13.67235294
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:01.942084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q111
median14
Q316
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.243334673
Coefficient of variation (CV)0.237218472
Kurtosis-0.5547774012
Mean13.67235294
Median Absolute Deviation (MAD)3
Skewness-0.5021796386
Sum69729
Variance10.5192198
MonotonicityNot monotonic
2021-05-29T15:55:02.043932image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
18646
 
0.3%
16582
 
0.3%
17582
 
0.3%
15522
 
0.3%
13501
 
0.3%
14500
 
0.3%
12442
 
0.2%
11347
 
0.2%
10345
 
0.2%
9263
 
0.1%
Other values (7)370
 
0.2%
(Missing)186552
97.3%
ValueCountFrequency (%)
21
 
< 0.1%
34
 
< 0.1%
47
 
< 0.1%
523
 
< 0.1%
662
< 0.1%
ValueCountFrequency (%)
18646
0.3%
17582
0.3%
16582
0.3%
15522
0.3%
14500
0.3%

ALTER_KIND3
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)1.1%
Missing190377
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean14.64705882
Minimum5
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:02.136707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q113
median15
Q317
95-th percentile18
Maximum18
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.753786671
Coefficient of variation (CV)0.1880095317
Kurtosis0.0957002455
Mean14.64705882
Median Absolute Deviation (MAD)2
Skewness-0.7774120716
Sum18675
Variance7.583341029
MonotonicityNot monotonic
2021-05-29T15:55:02.241540image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
18209
 
0.1%
17186
 
0.1%
16179
 
0.1%
15165
 
0.1%
14135
 
0.1%
13135
 
0.1%
1285
 
< 0.1%
1168
 
< 0.1%
1050
 
< 0.1%
926
 
< 0.1%
Other values (4)37
 
< 0.1%
(Missing)190377
99.3%
ValueCountFrequency (%)
52
 
< 0.1%
66
 
< 0.1%
713
< 0.1%
816
< 0.1%
926
< 0.1%
ValueCountFrequency (%)
18209
0.1%
17186
0.1%
16179
0.1%
15165
0.1%
14135
0.1%

ALTER_KIND4
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)4.2%
Missing191416
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean15.37711864
Minimum8
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:02.333604image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11.75
Q114
median16
Q317
95-th percentile18
Maximum18
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.307652801
Coefficient of variation (CV)0.1500705597
Kurtosis0.02425654448
Mean15.37711864
Median Absolute Deviation (MAD)2
Skewness-0.7401942184
Sum3629
Variance5.32526145
MonotonicityNot monotonic
2021-05-29T15:55:02.426391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1853
 
< 0.1%
1746
 
< 0.1%
1534
 
< 0.1%
1326
 
< 0.1%
1425
 
< 0.1%
1624
 
< 0.1%
1216
 
< 0.1%
115
 
< 0.1%
104
 
< 0.1%
83
 
< 0.1%
(Missing)191416
99.9%
ValueCountFrequency (%)
83
 
< 0.1%
104
 
< 0.1%
115
 
< 0.1%
1216
< 0.1%
1326
< 0.1%
ValueCountFrequency (%)
1853
< 0.1%
1746
< 0.1%
1624
< 0.1%
1534
< 0.1%
1425
< 0.1%

ALTERSKATEGORIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)< 0.1%
Missing51842
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean10.33157857
Minimum0
Maximum25
Zeros11019
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:02.529231image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median10
Q313
95-th percentile16
Maximum25
Range25
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.134827833
Coefficient of variation (CV)0.4002125914
Kurtosis1.204872188
Mean10.33157857
Median Absolute Deviation (MAD)2
Skewness-0.7083756147
Sum1444458
Variance17.09680121
MonotonicityNot monotonic
2021-05-29T15:55:02.659459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1020088
 
10.5%
919713
 
10.3%
1113508
 
7.0%
1212956
 
6.8%
811776
 
6.1%
1311629
 
6.1%
011019
 
5.7%
1410817
 
5.6%
158116
 
4.2%
77185
 
3.7%
Other values (15)13003
 
6.8%
(Missing)51842
27.1%
ValueCountFrequency (%)
011019
5.7%
212
 
< 0.1%
312
 
< 0.1%
469
 
< 0.1%
5292
 
0.2%
ValueCountFrequency (%)
25102
0.1%
24132
0.1%
2324
 
< 0.1%
2271
 
< 0.1%
21221
0.1%

ANZ_HAUSHALTE_AKTIV
Real number (ℝ≥0)

MISSING
ZEROS

Distinct216
Distinct (%)0.2%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean4.965863468
Minimum0
Maximum523
Zeros2450
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:02.790988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q34
95-th percentile18
Maximum523
Range523
Interquartile range (IQR)3

Descriptive statistics

Standard deviation14.309694
Coefficient of variation (CV)2.881612452
Kurtosis210.7926573
Mean4.965863468
Median Absolute Deviation (MAD)0
Skewness12.06098307
Sum703787
Variance204.7673425
MonotonicityNot monotonic
2021-05-29T15:55:02.956835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172730
37.9%
222269
 
11.6%
37774
 
4.1%
44597
 
2.4%
53637
 
1.9%
63406
 
1.8%
73139
 
1.6%
82819
 
1.5%
02450
 
1.3%
92421
 
1.3%
Other values (206)16483
 
8.6%
(Missing)49927
26.1%
ValueCountFrequency (%)
02450
 
1.3%
172730
37.9%
222269
 
11.6%
37774
 
4.1%
44597
 
2.4%
ValueCountFrequency (%)
5231
 
< 0.1%
3951
 
< 0.1%
3795
< 0.1%
3671
 
< 0.1%
3662
 
< 0.1%

ANZ_HH_TITEL
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct20
Distinct (%)< 0.1%
Missing52110
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean0.06741339525
Minimum0
Maximum23
Zeros133454
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:03.073488image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5455761376
Coefficient of variation (CV)8.092993025
Kurtosis604.3403899
Mean0.06741339525
Median Absolute Deviation (MAD)0
Skewness21.21510331
Sum9407
Variance0.2976533219
MonotonicityNot monotonic
2021-05-29T15:55:03.179445image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0133454
69.6%
15186
 
2.7%
2459
 
0.2%
3112
 
0.1%
463
 
< 0.1%
652
 
< 0.1%
1339
 
< 0.1%
732
 
< 0.1%
826
 
< 0.1%
525
 
< 0.1%
Other values (10)94
 
< 0.1%
(Missing)52110
 
27.2%
ValueCountFrequency (%)
0133454
69.6%
15186
 
2.7%
2459
 
0.2%
3112
 
0.1%
463
 
< 0.1%
ValueCountFrequency (%)
236
 
< 0.1%
2010
< 0.1%
185
 
< 0.1%
1715
< 0.1%
155
 
< 0.1%

ANZ_KINDER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean0.1364024928
Minimum0
Maximum8
Zeros132284
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:03.269517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4932493184
Coefficient of variation (CV)3.616131261
Kurtosis21.52904533
Mean0.1364024928
Median Absolute Deviation (MAD)0
Skewness4.316314013
Sum19786
Variance0.2432948901
MonotonicityNot monotonic
2021-05-29T15:55:03.361953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0132284
69.0%
17443
 
3.9%
23967
 
2.1%
31104
 
0.6%
4204
 
0.1%
546
 
< 0.1%
66
 
< 0.1%
81
 
< 0.1%
71
 
< 0.1%
(Missing)46596
 
24.3%
ValueCountFrequency (%)
0132284
69.0%
17443
 
3.9%
23967
 
2.1%
31104
 
0.6%
4204
 
0.1%
ValueCountFrequency (%)
81
 
< 0.1%
71
 
< 0.1%
66
 
< 0.1%
546
 
< 0.1%
4204
0.1%

ANZ_PERSONEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct18
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean2.267827598
Minimum0
Maximum21
Zeros7146
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:03.460174image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.390620148
Coefficient of variation (CV)0.6131948256
Kurtosis1.819434865
Mean2.267827598
Median Absolute Deviation (MAD)1
Skewness0.9467205475
Sum328962
Variance1.933824396
MonotonicityNot monotonic
2021-05-29T15:55:03.564707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
243780
22.8%
140929
21.4%
327231
14.2%
416101
 
8.4%
07146
 
3.7%
56482
 
3.4%
62332
 
1.2%
7716
 
0.4%
8222
 
0.1%
965
 
< 0.1%
Other values (8)52
 
< 0.1%
(Missing)46596
24.3%
ValueCountFrequency (%)
07146
 
3.7%
140929
21.4%
243780
22.8%
327231
14.2%
416101
 
8.4%
ValueCountFrequency (%)
212
< 0.1%
161
 
< 0.1%
151
 
< 0.1%
143
< 0.1%
132
< 0.1%

ANZ_STATISTISCHE_HAUSHALTE
Real number (ℝ≥0)

MISSING

Distinct214
Distinct (%)0.2%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean4.701287705
Minimum0
Maximum375
Zeros1161
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:03.682678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile16
Maximum375
Range375
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.18408078
Coefficient of variation (CV)3.017062913
Kurtosis224.629693
Mean4.701287705
Median Absolute Deviation (MAD)0
Skewness12.67959573
Sum666290
Variance201.1881475
MonotonicityNot monotonic
2021-05-29T15:55:03.808626image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177551
40.5%
220961
 
10.9%
37325
 
3.8%
44452
 
2.3%
53812
 
2.0%
63557
 
1.9%
73127
 
1.6%
82782
 
1.5%
92275
 
1.2%
101885
 
1.0%
Other values (204)13998
 
7.3%
(Missing)49927
26.1%
ValueCountFrequency (%)
01161
 
0.6%
177551
40.5%
220961
 
10.9%
37325
 
3.8%
44452
 
2.3%
ValueCountFrequency (%)
3755
 
< 0.1%
3711
 
< 0.1%
3651
 
< 0.1%
35410
< 0.1%
33919
< 0.1%

ANZ_TITEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean0.02039212442
Minimum0
Maximum5
Zeros142316
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:03.901994image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1522340634
Coefficient of variation (CV)7.46533614
Kurtosis81.96084768
Mean0.02039212442
Median Absolute Deviation (MAD)0
Skewness8.306930432
Sum2958
Variance0.02317521006
MonotonicityNot monotonic
2021-05-29T15:55:03.994811image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0142316
74.3%
12533
 
1.3%
2198
 
0.1%
38
 
< 0.1%
51
 
< 0.1%
(Missing)46596
 
24.3%
ValueCountFrequency (%)
0142316
74.3%
12533
 
1.3%
2198
 
0.1%
38
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
38
 
< 0.1%
2198
 
0.1%
12533
 
1.3%
0142316
74.3%

ARBEIT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing50476
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean2.824849833
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:04.084108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.012414744
Coefficient of variation (CV)0.3583959518
Kurtosis-0.5611519002
Mean2.824849833
Median Absolute Deviation (MAD)1
Skewness-0.2080778722
Sum398801
Variance1.024983615
MonotonicityNot monotonic
2021-05-29T15:55:04.194061image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
350905
26.6%
437595
19.6%
233334
17.4%
116941
 
8.8%
52378
 
1.2%
923
 
< 0.1%
(Missing)50476
26.3%
ValueCountFrequency (%)
116941
 
8.8%
233334
17.4%
350905
26.6%
437595
19.6%
52378
 
1.2%
ValueCountFrequency (%)
923
 
< 0.1%
52378
 
1.2%
437595
19.6%
350905
26.6%
233334
17.4%

BALLRAUM
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing49959
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean4.301758026
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:04.295900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.114613777
Coefficient of variation (CV)0.4915696708
Kurtosis-1.425908566
Mean4.301758026
Median Absolute Deviation (MAD)2
Skewness-0.331649198
Sum609529
Variance4.471591424
MonotonicityNot monotonic
2021-05-29T15:55:04.398715image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
648075
25.1%
121097
11.0%
220117
10.5%
717873
 
9.3%
313240
 
6.9%
411538
 
6.0%
59753
 
5.1%
(Missing)49959
26.1%
ValueCountFrequency (%)
121097
11.0%
220117
10.5%
313240
6.9%
411538
6.0%
59753
5.1%
ValueCountFrequency (%)
717873
 
9.3%
648075
25.1%
59753
 
5.1%
411538
 
6.0%
313240
 
6.9%

CAMEO_DEU_2015
Categorical

MISSING

Distinct45
Distinct (%)< 0.1%
Missing50428
Missing (%)26.3%
Memory size1.5 MiB
2D
11208 
6B
9634 
4C
 
9053
3D
 
8085
4A
 
7507
Other values (40)
95737 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1A
2nd row5D
3rd row4C
4th row7B
5th row5D

Common Values

ValueCountFrequency (%)
2D11208
 
5.8%
6B9634
 
5.0%
4C9053
 
4.7%
3D8085
 
4.2%
4A7507
 
3.9%
3C6628
 
3.5%
1D5880
 
3.1%
2C5076
 
2.6%
5D4546
 
2.4%
8A4252
 
2.2%
Other values (35)69355
36.2%
(Missing)50428
26.3%

CAMEO_DEUG_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing50428
Missing (%)26.3%
Memory size1.5 MiB

CAMEO_INTL_2015
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing50428
Missing (%)26.3%
Memory size1.5 MiB

CJT_GESAMTTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean3.677927605
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:04.695868image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.813974805
Coefficient of variation (CV)0.4932056852
Kurtosis-1.453254602
Mean3.677927605
Median Absolute Deviation (MAD)2
Skewness0.01565975795
Sum693065
Variance3.290504592
MonotonicityNot monotonic
2021-05-29T15:55:04.807025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
651907
27.1%
242841
22.4%
426912
14.0%
324343
12.7%
124229
12.6%
518207
 
9.5%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
124229
12.6%
242841
22.4%
324343
12.7%
426912
14.0%
518207
9.5%
ValueCountFrequency (%)
651907
27.1%
518207
 
9.5%
426912
14.0%
324343
12.7%
242841
22.4%

CJT_KATALOGNUTZER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.009939556
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:04.906342image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.378940266
Coefficient of variation (CV)0.3438805616
Kurtosis-0.07957104703
Mean4.009939556
Median Absolute Deviation (MAD)0
Skewness-1.148011766
Sum755629
Variance1.901476259
MonotonicityNot monotonic
2021-05-29T15:55:05.012381image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5107544
56.1%
427271
 
14.2%
322087
 
11.5%
120510
 
10.7%
211027
 
5.8%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
120510
 
10.7%
211027
 
5.8%
322087
 
11.5%
427271
 
14.2%
5107544
56.1%
ValueCountFrequency (%)
5107544
56.1%
427271
 
14.2%
322087
 
11.5%
211027
 
5.8%
120510
 
10.7%

CJT_TYP_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2.665440806
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:05.113181image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.54571399
Coefficient of variation (CV)0.5799093291
Kurtosis-1.288392741
Mean2.665440806
Median Absolute Deviation (MAD)1
Skewness0.4839845256
Sum502273
Variance2.389231738
MonotonicityNot monotonic
2021-05-29T15:55:05.200127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
155916
29.2%
253362
27.8%
546069
24.0%
323080
12.0%
410012
 
5.2%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
155916
29.2%
253362
27.8%
323080
12.0%
410012
 
5.2%
546069
24.0%
ValueCountFrequency (%)
546069
24.0%
410012
 
5.2%
323080
12.0%
253362
27.8%
155916
29.2%

CJT_TYP_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2.548490493
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:05.283530image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.55726248
Coefficient of variation (CV)0.6110528896
Kurtosis-1.185324929
Mean2.548490493
Median Absolute Deviation (MAD)1
Skewness0.6024492468
Sum480235
Variance2.425066431
MonotonicityNot monotonic
2021-05-29T15:55:05.374560image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
164716
33.8%
251794
27.0%
544294
23.1%
320079
 
10.5%
47556
 
3.9%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
164716
33.8%
251794
27.0%
320079
 
10.5%
47556
 
3.9%
544294
23.1%
ValueCountFrequency (%)
544294
23.1%
47556
 
3.9%
320079
 
10.5%
251794
27.0%
164716
33.8%

CJT_TYP_3
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.516368692
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:05.463558image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8747222352
Coefficient of variation (CV)0.1936782169
Kurtosis2.977297277
Mean4.516368692
Median Absolute Deviation (MAD)0
Skewness-1.894197199
Sum851060
Variance0.7651389888
MonotonicityNot monotonic
2021-05-29T15:55:05.554102image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5133124
69.5%
430494
 
15.9%
315564
 
8.1%
27515
 
3.9%
11742
 
0.9%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
11742
 
0.9%
27515
 
3.9%
315564
 
8.1%
430494
 
15.9%
5133124
69.5%
ValueCountFrequency (%)
5133124
69.5%
430494
 
15.9%
315564
 
8.1%
27515
 
3.9%
11742
 
0.9%

CJT_TYP_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.415317424
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:05.652635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.02528149
Coefficient of variation (CV)0.232210143
Kurtosis2.486947546
Mean4.415317424
Median Absolute Deviation (MAD)0
Skewness-1.832938677
Sum832018
Variance1.051202134
MonotonicityNot monotonic
2021-05-29T15:55:05.744407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5127878
66.7%
432339
 
16.9%
311982
 
6.3%
211086
 
5.8%
15154
 
2.7%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
15154
 
2.7%
211086
 
5.8%
311982
 
6.3%
432339
 
16.9%
5127878
66.7%
ValueCountFrequency (%)
5127878
66.7%
432339
 
16.9%
311982
 
6.3%
211086
 
5.8%
15154
 
2.7%

CJT_TYP_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.51995606
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:05.832253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.895370972
Coefficient of variation (CV)0.1980928487
Kurtosis3.171113593
Mean4.51995606
Median Absolute Deviation (MAD)0
Skewness-1.93764937
Sum851736
Variance0.8016891775
MonotonicityNot monotonic
2021-05-29T15:55:05.946188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5136309
71.1%
424855
 
13.0%
318855
 
9.8%
25786
 
3.0%
12634
 
1.4%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
12634
 
1.4%
25786
 
3.0%
318855
 
9.8%
424855
 
13.0%
5136309
71.1%
ValueCountFrequency (%)
5136309
71.1%
424855
 
13.0%
318855
 
9.8%
25786
 
3.0%
12634
 
1.4%

CJT_TYP_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.538837502
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:06.063999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8860911615
Coefficient of variation (CV)0.1952242532
Kurtosis3.379922262
Mean4.538837502
Median Absolute Deviation (MAD)0
Skewness-2.02193781
Sum855294
Variance0.7851575465
MonotonicityNot monotonic
2021-05-29T15:55:06.180467image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5137643
71.8%
427282
 
14.2%
312791
 
6.7%
28855
 
4.6%
11868
 
1.0%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
11868
 
1.0%
28855
 
4.6%
312791
 
6.7%
427282
 
14.2%
5137643
71.8%
ValueCountFrequency (%)
5137643
71.8%
427282
 
14.2%
312791
 
6.7%
28855
 
4.6%
11868
 
1.0%

D19_BANKEN_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09104001002
Minimum0
Maximum6
Zeros180150
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:06.297459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4166841409
Coefficient of variation (CV)4.57693426
Kurtosis45.05976397
Mean0.09104001002
Median Absolute Deviation (MAD)0
Skewness6.025510973
Sum17448
Variance0.1736256733
MonotonicityNot monotonic
2021-05-29T15:55:06.397535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0180150
94.0%
17450
 
3.9%
22836
 
1.5%
3701
 
0.4%
4379
 
0.2%
5109
 
0.1%
627
 
< 0.1%
ValueCountFrequency (%)
0180150
94.0%
17450
 
3.9%
22836
 
1.5%
3701
 
0.4%
4379
 
0.2%
ValueCountFrequency (%)
627
 
< 0.1%
5109
 
0.1%
4379
 
0.2%
3701
 
0.4%
22836
1.5%

D19_BANKEN_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1595235114
Minimum0
Maximum6
Zeros173701
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:06.488197image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5898238705
Coefficient of variation (CV)3.697410278
Kurtosis28.41577649
Mean0.1595235114
Median Absolute Deviation (MAD)0
Skewness4.868116602
Sum30573
Variance0.3478921983
MonotonicityNot monotonic
2021-05-29T15:55:06.577265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0173701
90.6%
110248
 
5.3%
24919
 
2.6%
31320
 
0.7%
4935
 
0.5%
5387
 
0.2%
6142
 
0.1%
ValueCountFrequency (%)
0173701
90.6%
110248
 
5.3%
24919
 
2.6%
31320
 
0.7%
4935
 
0.5%
ValueCountFrequency (%)
6142
 
0.1%
5387
 
0.2%
4935
 
0.5%
31320
 
0.7%
24919
2.6%

D19_BANKEN_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.367598564
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:06.666204image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.64326232
Coefficient of variation (CV)0.1754198057
Kurtosis10.03183108
Mean9.367598564
Median Absolute Deviation (MAD)0
Skewness-3.146670024
Sum1795319
Variance2.700311053
MonotonicityNot monotonic
2021-05-29T15:55:06.759459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10152762
79.7%
914819
 
7.7%
56458
 
3.4%
86120
 
3.2%
63257
 
1.7%
73192
 
1.7%
11988
 
1.0%
41172
 
0.6%
21136
 
0.6%
3748
 
0.4%
ValueCountFrequency (%)
11988
 
1.0%
21136
 
0.6%
3748
 
0.4%
41172
 
0.6%
56458
3.4%
ValueCountFrequency (%)
10152762
79.7%
914819
 
7.7%
86120
 
3.2%
73192
 
1.7%
63257
 
1.7%

D19_BANKEN_DIREKT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6461659675
Minimum0
Maximum7
Zeros166726
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:06.850615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.771524943
Coefficient of variation (CV)2.741594315
Kurtosis4.988131207
Mean0.6461659675
Median Absolute Deviation (MAD)0
Skewness2.570975647
Sum123839
Variance3.138300623
MonotonicityNot monotonic
2021-05-29T15:55:06.949850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0166726
87.0%
611802
 
6.2%
34884
 
2.5%
52684
 
1.4%
72516
 
1.3%
21144
 
0.6%
41053
 
0.5%
1843
 
0.4%
ValueCountFrequency (%)
0166726
87.0%
1843
 
0.4%
21144
 
0.6%
34884
 
2.5%
41053
 
0.5%
ValueCountFrequency (%)
72516
 
1.3%
611802
6.2%
52684
 
1.4%
41053
 
0.5%
34884
2.5%

D19_BANKEN_GROSS
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4244776992
Minimum0
Maximum6
Zeros175064
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:07.039133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.443738888
Coefficient of variation (CV)3.401212575
Kurtosis9.211679916
Mean0.4244776992
Median Absolute Deviation (MAD)0
Skewness3.287695646
Sum81352
Variance2.084381977
MonotonicityNot monotonic
2021-05-29T15:55:07.128869image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0175064
91.3%
69097
 
4.7%
33040
 
1.6%
52488
 
1.3%
4875
 
0.5%
2622
 
0.3%
1466
 
0.2%
ValueCountFrequency (%)
0175064
91.3%
1466
 
0.2%
2622
 
0.3%
33040
 
1.6%
4875
 
0.5%
ValueCountFrequency (%)
69097
4.7%
52488
 
1.3%
4875
 
0.5%
33040
 
1.6%
2622
 
0.3%

D19_BANKEN_LOKAL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1329701751
Minimum0
Maximum7
Zeros187347
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:07.221289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9079254017
Coefficient of variation (CV)6.828037948
Kurtosis47.40494858
Mean0.1329701751
Median Absolute Deviation (MAD)0
Skewness6.951105176
Sum25484
Variance0.824328535
MonotonicityNot monotonic
2021-05-29T15:55:07.330664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0187347
97.8%
72455
 
1.3%
3833
 
0.4%
6788
 
0.4%
5203
 
0.1%
222
 
< 0.1%
43
 
< 0.1%
11
 
< 0.1%
ValueCountFrequency (%)
0187347
97.8%
11
 
< 0.1%
222
 
< 0.1%
3833
 
0.4%
43
 
< 0.1%
ValueCountFrequency (%)
72455
1.3%
6788
 
0.4%
5203
 
0.1%
43
 
< 0.1%
3833
 
0.4%

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.866471521
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:07.437506image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7722532224
Coefficient of variation (CV)0.07827045573
Kurtosis48.23036322
Mean9.866471521
Median Absolute Deviation (MAD)0
Skewness-6.693493873
Sum1890929
Variance0.5963750395
MonotonicityNot monotonic
2021-05-29T15:55:07.557022image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10184202
96.1%
52959
 
1.5%
82328
 
1.2%
91414
 
0.7%
2277
 
0.1%
6244
 
0.1%
187
 
< 0.1%
472
 
< 0.1%
741
 
< 0.1%
328
 
< 0.1%
ValueCountFrequency (%)
187
 
< 0.1%
2277
 
0.1%
328
 
< 0.1%
472
 
< 0.1%
52959
1.5%
ValueCountFrequency (%)
10184202
96.1%
91414
 
0.7%
82328
 
1.2%
741
 
< 0.1%
6244
 
0.1%

D19_BANKEN_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.600645962
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:07.661058image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.379280426
Coefficient of variation (CV)0.1436653774
Kurtosis19.49307895
Mean9.600645962
Median Absolute Deviation (MAD)0
Skewness-4.295434337
Sum1839983
Variance1.902414493
MonotonicityNot monotonic
2021-05-29T15:55:07.768843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10167585
87.4%
99622
 
5.0%
83137
 
1.6%
52912
 
1.5%
72473
 
1.3%
62041
 
1.1%
11738
 
0.9%
4864
 
0.5%
2712
 
0.4%
3568
 
0.3%
ValueCountFrequency (%)
11738
0.9%
2712
 
0.4%
3568
 
0.3%
4864
 
0.5%
52912
1.5%
ValueCountFrequency (%)
10167585
87.4%
99622
 
5.0%
83137
 
1.6%
72473
 
1.3%
62041
 
1.1%

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean0.4620193811
Minimum0
Maximum10
Zeros137161
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:07.873394image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.087401901
Coefficient of variation (CV)4.517996402
Kurtosis16.72476778
Mean0.4620193811
Median Absolute Deviation (MAD)0
Skewness4.320566308
Sum66510
Variance4.357246697
MonotonicityNot monotonic
2021-05-29T15:55:07.985945image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0137161
71.6%
106463
 
3.4%
5140
 
0.1%
782
 
< 0.1%
344
 
< 0.1%
838
 
< 0.1%
914
 
< 0.1%
28
 
< 0.1%
64
 
< 0.1%
41
 
< 0.1%
(Missing)47697
 
24.9%
ValueCountFrequency (%)
0137161
71.6%
28
 
< 0.1%
344
 
< 0.1%
41
 
< 0.1%
5140
 
0.1%
ValueCountFrequency (%)
106463
3.4%
914
 
< 0.1%
838
 
< 0.1%
782
 
< 0.1%
64
 
< 0.1%

D19_BANKEN_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4444774905
Minimum0
Maximum7
Zeros176243
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:08.085885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.546226218
Coefficient of variation (CV)3.478750334
Kurtosis9.193731425
Mean0.4444774905
Median Absolute Deviation (MAD)0
Skewness3.304743405
Sum85185
Variance2.390815519
MonotonicityNot monotonic
2021-05-29T15:55:08.195231image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0176243
92.0%
69620
 
5.0%
71829
 
1.0%
51643
 
0.9%
31559
 
0.8%
2400
 
0.2%
4204
 
0.1%
1154
 
0.1%
ValueCountFrequency (%)
0176243
92.0%
1154
 
0.1%
2400
 
0.2%
31559
 
0.8%
4204
 
0.1%
ValueCountFrequency (%)
71829
 
1.0%
69620
5.0%
51643
 
0.9%
4204
 
0.1%
31559
 
0.8%

D19_BEKLEIDUNG_GEH
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9787270678
Minimum0
Maximum7
Zeros154242
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:08.284937image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.097214522
Coefficient of variation (CV)2.142798121
Kurtosis1.64052231
Mean0.9787270678
Median Absolute Deviation (MAD)0
Skewness1.836276363
Sum187575
Variance4.39830875
MonotonicityNot monotonic
2021-05-29T15:55:08.377289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0154242
80.5%
618154
 
9.5%
37838
 
4.1%
55515
 
2.9%
72948
 
1.5%
21349
 
0.7%
4874
 
0.5%
1732
 
0.4%
ValueCountFrequency (%)
0154242
80.5%
1732
 
0.4%
21349
 
0.7%
37838
 
4.1%
4874
 
0.5%
ValueCountFrequency (%)
72948
 
1.5%
618154
9.5%
55515
 
2.9%
4874
 
0.5%
37838
4.1%

D19_BEKLEIDUNG_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.527779517
Minimum0
Maximum7
Zeros137848
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:08.461864image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.562741055
Coefficient of variation (CV)1.677428599
Kurtosis-0.4473246664
Mean1.527779517
Median Absolute Deviation (MAD)0
Skewness1.186852035
Sum292802
Variance6.567641713
MonotonicityNot monotonic
2021-05-29T15:55:08.552724image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0137848
71.9%
631571
 
16.5%
77880
 
4.1%
36749
 
3.5%
54074
 
2.1%
21555
 
0.8%
11137
 
0.6%
4838
 
0.4%
ValueCountFrequency (%)
0137848
71.9%
11137
 
0.6%
21555
 
0.8%
36749
 
3.5%
4838
 
0.4%
ValueCountFrequency (%)
77880
 
4.1%
631571
16.5%
54074
 
2.1%
4838
 
0.4%
36749
 
3.5%

D19_BILDUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9985651076
Minimum0
Maximum7
Zeros155747
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:08.638727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.215235176
Coefficient of variation (CV)2.218418367
Kurtosis1.900404957
Mean0.9985651076
Median Absolute Deviation (MAD)0
Skewness1.920619252
Sum191377
Variance4.907266883
MonotonicityNot monotonic
2021-05-29T15:55:08.732138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0155747
81.3%
617221
 
9.0%
78661
 
4.5%
25393
 
2.8%
32301
 
1.2%
51400
 
0.7%
4602
 
0.3%
1327
 
0.2%
ValueCountFrequency (%)
0155747
81.3%
1327
 
0.2%
25393
 
2.8%
32301
 
1.2%
4602
 
0.3%
ValueCountFrequency (%)
78661
4.5%
617221
9.0%
51400
 
0.7%
4602
 
0.3%
32301
 
1.2%

D19_BIO_OEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5384916411
Minimum0
Maximum7
Zeros174542
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:08.820996image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.74644807
Coefficient of variation (CV)3.243222247
Kurtosis7.213871093
Mean0.5384916411
Median Absolute Deviation (MAD)0
Skewness3.005302448
Sum103203
Variance3.050080861
MonotonicityNot monotonic
2021-05-29T15:55:08.912967image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0174542
91.1%
69423
 
4.9%
75351
 
2.8%
31180
 
0.6%
51103
 
0.6%
225
 
< 0.1%
425
 
< 0.1%
13
 
< 0.1%
ValueCountFrequency (%)
0174542
91.1%
13
 
< 0.1%
225
 
< 0.1%
31180
 
0.6%
425
 
< 0.1%
ValueCountFrequency (%)
75351
2.8%
69423
4.9%
51103
 
0.6%
425
 
< 0.1%
31180
 
0.6%

D19_BUCH_CD
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.443987018
Minimum0
Maximum7
Zeros102937
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:08.999454image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.822639395
Coefficient of variation (CV)1.154932238
Kurtosis-1.738895896
Mean2.443987018
Median Absolute Deviation (MAD)0
Skewness0.3960911885
Sum468395
Variance7.967293156
MonotonicityNot monotonic
2021-05-29T15:55:09.101830image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0102937
53.7%
663216
33.0%
38064
 
4.2%
54763
 
2.5%
14326
 
2.3%
73074
 
1.6%
22920
 
1.5%
42352
 
1.2%
ValueCountFrequency (%)
0102937
53.7%
14326
 
2.3%
22920
 
1.5%
38064
 
4.2%
42352
 
1.2%
ValueCountFrequency (%)
73074
 
1.6%
663216
33.0%
54763
 
2.5%
42352
 
1.2%
38064
 
4.2%

D19_DIGIT_SERV
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2182653977
Minimum0
Maximum7
Zeros183539
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:09.186524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.084784513
Coefficient of variation (CV)4.970025137
Kurtosis24.14842848
Mean0.2182653977
Median Absolute Deviation (MAD)0
Skewness5.029803628
Sum41831
Variance1.17675744
MonotonicityNot monotonic
2021-05-29T15:55:09.282116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0183539
95.8%
64233
 
2.2%
31582
 
0.8%
7922
 
0.5%
5765
 
0.4%
2434
 
0.2%
4121
 
0.1%
156
 
< 0.1%
ValueCountFrequency (%)
0183539
95.8%
156
 
< 0.1%
2434
 
0.2%
31582
 
0.8%
4121
 
0.1%
ValueCountFrequency (%)
7922
 
0.5%
64233
2.2%
5765
 
0.4%
4121
 
0.1%
31582
 
0.8%

D19_DROGERIEARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.757998873
Minimum0
Maximum7
Zeros160837
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:09.390758image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.85788388
Coefficient of variation (CV)2.451037787
Kurtosis3.551151404
Mean0.757998873
Median Absolute Deviation (MAD)0
Skewness2.266085638
Sum145272
Variance3.451732512
MonotonicityNot monotonic
2021-05-29T15:55:09.501333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0160837
83.9%
611927
 
6.2%
36313
 
3.3%
54431
 
2.3%
72678
 
1.4%
42130
 
1.1%
22014
 
1.1%
11322
 
0.7%
ValueCountFrequency (%)
0160837
83.9%
11322
 
0.7%
22014
 
1.1%
36313
 
3.3%
42130
 
1.1%
ValueCountFrequency (%)
72678
 
1.4%
611927
6.2%
54431
 
2.3%
42130
 
1.1%
36313
3.3%

D19_ENERGIE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4742658569
Minimum0
Maximum7
Zeros172916
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:09.605514image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.52271566
Coefficient of variation (CV)3.210679492
Kurtosis8.562474788
Mean0.4742658569
Median Absolute Deviation (MAD)0
Skewness3.152478177
Sum90894
Variance2.318662982
MonotonicityNot monotonic
2021-05-29T15:55:09.720367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0172916
90.2%
66859
 
3.6%
35364
 
2.8%
53125
 
1.6%
72166
 
1.1%
2697
 
0.4%
4314
 
0.2%
1211
 
0.1%
ValueCountFrequency (%)
0172916
90.2%
1211
 
0.1%
2697
 
0.4%
35364
 
2.8%
4314
 
0.2%
ValueCountFrequency (%)
72166
 
1.1%
66859
3.6%
53125
1.6%
4314
 
0.2%
35364
2.8%

D19_FREIZEIT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6884144178
Minimum0
Maximum7
Zeros166363
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:09.816191image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.838986968
Coefficient of variation (CV)2.67133709
Kurtosis4.252870867
Mean0.6884144178
Median Absolute Deviation (MAD)0
Skewness2.441847599
Sum131936
Variance3.381873068
MonotonicityNot monotonic
2021-05-29T15:55:09.908912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0166363
86.8%
613275
 
6.9%
34361
 
2.3%
53415
 
1.8%
72448
 
1.3%
4849
 
0.4%
2655
 
0.3%
1286
 
0.1%
ValueCountFrequency (%)
0166363
86.8%
1286
 
0.1%
2655
 
0.3%
34361
 
2.3%
4849
 
0.4%
ValueCountFrequency (%)
72448
 
1.3%
613275
6.9%
53415
 
1.8%
4849
 
0.4%
34361
 
2.3%

D19_GARTEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3445254941
Minimum0
Maximum7
Zeros179969
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:10.000861image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.383708292
Coefficient of variation (CV)4.016272572
Kurtosis13.52401246
Mean0.3445254941
Median Absolute Deviation (MAD)0
Skewness3.891901155
Sum66029
Variance1.914648638
MonotonicityNot monotonic
2021-05-29T15:55:10.114255image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0179969
93.9%
66330
 
3.3%
72176
 
1.1%
51655
 
0.9%
31319
 
0.7%
499
 
0.1%
285
 
< 0.1%
119
 
< 0.1%
ValueCountFrequency (%)
0179969
93.9%
119
 
< 0.1%
285
 
< 0.1%
31319
 
0.7%
499
 
0.1%
ValueCountFrequency (%)
72176
 
1.1%
66330
3.3%
51655
 
0.9%
499
 
0.1%
31319
 
0.7%

D19_GESAMT_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9376787093
Minimum0
Maximum6
Zeros111999
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:10.211553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.376459195
Coefficient of variation (CV)1.467943317
Kurtosis1.195739304
Mean0.9376787093
Median Absolute Deviation (MAD)0
Skewness1.441028864
Sum179708
Variance1.894639916
MonotonicityNot monotonic
2021-05-29T15:55:10.311836image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0111999
58.4%
127777
 
14.5%
225069
 
13.1%
311048
 
5.8%
410882
 
5.7%
54141
 
2.2%
6736
 
0.4%
ValueCountFrequency (%)
0111999
58.4%
127777
 
14.5%
225069
 
13.1%
311048
 
5.8%
410882
 
5.7%
ValueCountFrequency (%)
6736
 
0.4%
54141
 
2.2%
410882
5.7%
311048
5.8%
225069
13.1%

D19_GESAMT_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.438581387
Minimum0
Maximum6
Zeros91722
Zeros (%)47.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:10.400880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.742773839
Coefficient of variation (CV)1.211453071
Kurtosis-0.2757674674
Mean1.438581387
Median Absolute Deviation (MAD)1
Skewness0.9619164175
Sum275707
Variance3.037260654
MonotonicityNot monotonic
2021-05-29T15:55:10.503318image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
091722
47.9%
227736
 
14.5%
124260
 
12.7%
417771
 
9.3%
315045
 
7.9%
510952
 
5.7%
64166
 
2.2%
ValueCountFrequency (%)
091722
47.9%
124260
 
12.7%
227736
 
14.5%
315045
 
7.9%
417771
 
9.3%
ValueCountFrequency (%)
64166
 
2.2%
510952
 
5.7%
417771
9.3%
315045
7.9%
227736
14.5%

D19_GESAMT_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.52949617
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:10.601308image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.246551658
Coefficient of variation (CV)0.4972131958
Kurtosis-1.30427266
Mean6.52949617
Median Absolute Deviation (MAD)3
Skewness-0.3805784073
Sum1251391
Variance10.54009767
MonotonicityNot monotonic
2021-05-29T15:55:10.722170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1060536
31.6%
525477
13.3%
119626
 
10.2%
919071
 
10.0%
214981
 
7.8%
812115
 
6.3%
611313
 
5.9%
411166
 
5.8%
78964
 
4.7%
38403
 
4.4%
ValueCountFrequency (%)
119626
10.2%
214981
7.8%
38403
 
4.4%
411166
5.8%
525477
13.3%
ValueCountFrequency (%)
1060536
31.6%
919071
 
10.0%
812115
 
6.3%
78964
 
4.7%
611313
 
5.9%

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.412435039
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:10.820200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.18512237
Coefficient of variation (CV)0.2597490928
Kurtosis1.701849686
Mean8.412435039
Median Absolute Deviation (MAD)1
Skewness-1.550164165
Sum1612260
Variance4.774759771
MonotonicityNot monotonic
2021-05-29T15:55:10.912699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1089296
46.6%
936977
19.3%
820973
 
10.9%
515032
 
7.8%
79313
 
4.9%
67942
 
4.1%
23673
 
1.9%
43404
 
1.8%
12684
 
1.4%
32358
 
1.2%
ValueCountFrequency (%)
12684
 
1.4%
23673
 
1.9%
32358
 
1.2%
43404
 
1.8%
515032
7.8%
ValueCountFrequency (%)
1089296
46.6%
936977
19.3%
820973
 
10.9%
79313
 
4.9%
67942
 
4.1%

D19_GESAMT_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.445714107
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:11.002426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.117772196
Coefficient of variation (CV)0.4187338046
Kurtosis-0.7243027577
Mean7.445714107
Median Absolute Deviation (MAD)1
Skewness-0.8570109421
Sum1426986
Variance9.720503465
MonotonicityNot monotonic
2021-05-29T15:55:11.089283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1089840
46.9%
518652
 
9.7%
918203
 
9.5%
114207
 
7.4%
29627
 
5.0%
89435
 
4.9%
69313
 
4.9%
48539
 
4.5%
77754
 
4.0%
36082
 
3.2%
ValueCountFrequency (%)
114207
7.4%
29627
5.0%
36082
 
3.2%
48539
4.5%
518652
9.7%
ValueCountFrequency (%)
1089840
46.9%
918203
 
9.5%
89435
 
4.9%
77754
 
4.0%
69313
 
4.9%

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean3.522878677
Minimum0
Maximum10
Zeros86879
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:11.174729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.561253201
Coefficient of variation (CV)1.294751713
Kurtosis-1.547743994
Mean3.522878677
Median Absolute Deviation (MAD)0
Skewness0.6049669116
Sum507136
Variance20.80503077
MonotonicityNot monotonic
2021-05-29T15:55:11.279819image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
086879
45.3%
1042191
22.0%
54010
 
2.1%
82677
 
1.4%
72392
 
1.2%
31767
 
0.9%
91502
 
0.8%
2701
 
0.4%
6666
 
0.3%
1627
 
0.3%
(Missing)47697
24.9%
ValueCountFrequency (%)
086879
45.3%
1627
 
0.3%
2701
 
0.4%
31767
 
0.9%
4543
 
0.3%
ValueCountFrequency (%)
1042191
22.0%
91502
 
0.8%
82677
 
1.4%
72392
 
1.2%
6666
 
0.3%

D19_HANDWERK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.535256611
Minimum0
Maximum7
Zeros143537
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:11.392240image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.668879944
Coefficient of variation (CV)1.73839339
Kurtosis-0.5466882006
Mean1.535256611
Median Absolute Deviation (MAD)0
Skewness1.186063581
Sum294235
Variance7.122920157
MonotonicityNot monotonic
2021-05-29T15:55:11.514667image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0143537
74.9%
637125
 
19.4%
79153
 
4.8%
5954
 
0.5%
3821
 
0.4%
431
 
< 0.1%
226
 
< 0.1%
15
 
< 0.1%
ValueCountFrequency (%)
0143537
74.9%
15
 
< 0.1%
226
 
< 0.1%
3821
 
0.4%
431
 
< 0.1%
ValueCountFrequency (%)
79153
 
4.8%
637125
19.4%
5954
 
0.5%
431
 
< 0.1%
3821
 
0.4%

D19_HAUS_DEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.53703066
Minimum0
Maximum7
Zeros132811
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:11.619919image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.459250091
Coefficient of variation (CV)1.600000674
Kurtosis-0.5493058082
Mean1.53703066
Median Absolute Deviation (MAD)0
Skewness1.121730654
Sum294575
Variance6.047911012
MonotonicityNot monotonic
2021-05-29T15:55:11.731665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0132811
69.3%
632600
 
17.0%
311291
 
5.9%
56851
 
3.6%
72719
 
1.4%
22708
 
1.4%
11430
 
0.7%
41242
 
0.6%
ValueCountFrequency (%)
0132811
69.3%
11430
 
0.7%
22708
 
1.4%
311291
 
5.9%
41242
 
0.6%
ValueCountFrequency (%)
72719
 
1.4%
632600
17.0%
56851
 
3.6%
41242
 
0.6%
311291
 
5.9%

D19_KINDERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.083515956
Minimum0
Maximum7
Zeros153651
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:11.838951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.277333103
Coefficient of variation (CV)2.101799323
Kurtosis1.237898453
Mean1.083515956
Median Absolute Deviation (MAD)0
Skewness1.745927238
Sum207658
Variance5.18624606
MonotonicityNot monotonic
2021-05-29T15:55:11.956177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0153651
80.2%
619662
 
10.3%
77585
 
4.0%
34723
 
2.5%
53125
 
1.6%
21770
 
0.9%
4707
 
0.4%
1429
 
0.2%
ValueCountFrequency (%)
0153651
80.2%
1429
 
0.2%
21770
 
0.9%
34723
 
2.5%
4707
 
0.4%
ValueCountFrequency (%)
77585
 
4.0%
619662
10.3%
53125
 
1.6%
4707
 
0.4%
34723
 
2.5%

D19_KONSUMTYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean3.027654475
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:12.064911image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.206506896
Coefficient of variation (CV)0.7287842501
Kurtosis2.031475141
Mean3.027654475
Median Absolute Deviation (MAD)1
Skewness1.646762171
Sum435846
Variance4.868672684
MonotonicityNot monotonic
2021-05-29T15:55:13.579586image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
352323
27.3%
135794
18.7%
229600
15.4%
912516
 
6.5%
67424
 
3.9%
44795
 
2.5%
51503
 
0.8%
(Missing)47697
24.9%
ValueCountFrequency (%)
135794
18.7%
229600
15.4%
352323
27.3%
44795
 
2.5%
51503
 
0.8%
ValueCountFrequency (%)
912516
 
6.5%
67424
 
3.9%
51503
 
0.8%
44795
 
2.5%
352323
27.3%

D19_KONSUMTYP_MAX
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.224469351
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:13.690545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.198298122
Coefficient of variation (CV)0.7570887267
Kurtosis-1.400897755
Mean4.224469351
Median Absolute Deviation (MAD)1
Skewness0.6773018872
Sum809628
Variance10.22911088
MonotonicityNot monotonic
2021-05-29T15:55:13.846839image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
291758
47.9%
947697
24.9%
120075
 
10.5%
813911
 
7.3%
410843
 
5.7%
37368
 
3.8%
ValueCountFrequency (%)
120075
 
10.5%
291758
47.9%
37368
 
3.8%
410843
 
5.7%
813911
 
7.3%
ValueCountFrequency (%)
947697
24.9%
813911
 
7.3%
410843
 
5.7%
37368
 
3.8%
291758
47.9%

D19_KOSMETIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.756110033
Minimum0
Maximum7
Zeros139367
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:13.986655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.883393243
Coefficient of variation (CV)1.641920602
Kurtosis-0.8435883915
Mean1.756110033
Median Absolute Deviation (MAD)0
Skewness1.054458807
Sum336562
Variance8.313956594
MonotonicityNot monotonic
2021-05-29T15:55:14.179980image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0139367
72.7%
627497
 
14.3%
724193
 
12.6%
3268
 
0.1%
5234
 
0.1%
248
 
< 0.1%
438
 
< 0.1%
17
 
< 0.1%
ValueCountFrequency (%)
0139367
72.7%
17
 
< 0.1%
248
 
< 0.1%
3268
 
0.1%
438
 
< 0.1%
ValueCountFrequency (%)
724193
12.6%
627497
14.3%
5234
 
0.1%
438
 
< 0.1%
3268
 
0.1%

D19_LEBENSMITTEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.577635506
Minimum0
Maximum7
Zeros170971
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:14.338379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.723675155
Coefficient of variation (CV)2.984018706
Kurtosis6.156141266
Mean0.577635506
Median Absolute Deviation (MAD)0
Skewness2.798068542
Sum110705
Variance2.971056041
MonotonicityNot monotonic
2021-05-29T15:55:14.456187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0170971
89.2%
610808
 
5.6%
33931
 
2.1%
72978
 
1.6%
52361
 
1.2%
2357
 
0.2%
4151
 
0.1%
195
 
< 0.1%
ValueCountFrequency (%)
0170971
89.2%
195
 
< 0.1%
2357
 
0.2%
33931
 
2.1%
4151
 
0.1%
ValueCountFrequency (%)
72978
 
1.6%
610808
5.6%
52361
 
1.2%
4151
 
0.1%
33931
 
2.1%

D19_LETZTER_KAUF_BRANCHE
Categorical

MISSING

Distinct35
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Memory size1.5 MiB
D19_UNBEKANNT
31910 
D19_SONSTIGE
14540 
D19_VERSICHERUNGEN
10534 
D19_BUCH_CD
10038 
D19_VOLLSORTIMENT
8647 
Other values (30)
68286 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD19_UNBEKANNT
2nd rowD19_BANKEN_GROSS
3rd rowD19_UNBEKANNT
4th rowD19_NAHRUNGSERGAENZUNG
5th rowD19_SCHUHE

Common Values

ValueCountFrequency (%)
D19_UNBEKANNT31910
16.6%
D19_SONSTIGE14540
 
7.6%
D19_VERSICHERUNGEN10534
 
5.5%
D19_BUCH_CD10038
 
5.2%
D19_VOLLSORTIMENT8647
 
4.5%
D19_HAUS_DEKO8129
 
4.2%
D19_SCHUHE6317
 
3.3%
D19_BEKLEIDUNG_GEH5975
 
3.1%
D19_DROGERIEARTIKEL5528
 
2.9%
D19_ENERGIE4454
 
2.3%
Other values (25)37883
19.8%
(Missing)47697
24.9%

D19_LOTTO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean2.633732764
Minimum0
Maximum7
Zeros88281
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:14.748703image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.332828243
Coefficient of variation (CV)1.265439033
Kurtosis-1.741519834
Mean2.633732764
Median Absolute Deviation (MAD)0
Skewness0.4884701068
Sum379139
Variance11.1077441
MonotonicityNot monotonic
2021-05-29T15:55:14.837470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
088281
46.1%
747084
24.6%
67609
 
4.0%
5481
 
0.3%
3468
 
0.2%
217
 
< 0.1%
413
 
< 0.1%
12
 
< 0.1%
(Missing)47697
24.9%
ValueCountFrequency (%)
088281
46.1%
12
 
< 0.1%
217
 
< 0.1%
3468
 
0.2%
413
 
< 0.1%
ValueCountFrequency (%)
747084
24.6%
67609
 
4.0%
5481
 
0.3%
413
 
< 0.1%
3468
 
0.2%

D19_NAHRUNGSERGAENZUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5059169745
Minimum0
Maximum7
Zeros174094
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:14.923165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.651735897
Coefficient of variation (CV)3.264835893
Kurtosis7.966241302
Mean0.5059169745
Median Absolute Deviation (MAD)0
Skewness3.102989701
Sum96960
Variance2.728231474
MonotonicityNot monotonic
2021-05-29T15:55:15.016848image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0174094
90.8%
68225
 
4.3%
74039
 
2.1%
32584
 
1.3%
52035
 
1.1%
2285
 
0.1%
1240
 
0.1%
4150
 
0.1%
ValueCountFrequency (%)
0174094
90.8%
1240
 
0.1%
2285
 
0.1%
32584
 
1.3%
4150
 
0.1%
ValueCountFrequency (%)
74039
2.1%
68225
4.3%
52035
 
1.1%
4150
 
0.1%
32584
 
1.3%

D19_RATGEBER
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.799756851
Minimum0
Maximum7
Zeros161270
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:15.103794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.959001155
Coefficient of variation (CV)2.449495935
Kurtosis3.207414088
Mean0.799756851
Median Absolute Deviation (MAD)0
Skewness2.218221165
Sum153275
Variance3.837685526
MonotonicityNot monotonic
2021-05-29T15:55:15.209359image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0161270
84.1%
615893
 
8.3%
33856
 
2.0%
23643
 
1.9%
73308
 
1.7%
52439
 
1.3%
4823
 
0.4%
1420
 
0.2%
ValueCountFrequency (%)
0161270
84.1%
1420
 
0.2%
23643
 
1.9%
33856
 
2.0%
4823
 
0.4%
ValueCountFrequency (%)
73308
 
1.7%
615893
8.3%
52439
 
1.3%
4823
 
0.4%
33856
 
2.0%

D19_REISEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.775556738
Minimum0
Maximum7
Zeros134825
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:15.301814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.80323014
Coefficient of variation (CV)1.57878939
Kurtosis-0.9166628182
Mean1.775556738
Median Absolute Deviation (MAD)0
Skewness1.001647035
Sum340289
Variance7.858099217
MonotonicityNot monotonic
2021-05-29T15:55:15.404224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0134825
70.3%
634244
 
17.9%
716397
 
8.6%
22078
 
1.1%
31982
 
1.0%
51653
 
0.9%
4402
 
0.2%
171
 
< 0.1%
ValueCountFrequency (%)
0134825
70.3%
171
 
< 0.1%
22078
 
1.1%
31982
 
1.0%
4402
 
0.2%
ValueCountFrequency (%)
716397
8.6%
634244
17.9%
51653
 
0.9%
4402
 
0.2%
31982
 
1.0%

D19_SAMMELARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.432179158
Minimum0
Maximum7
Zeros145113
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:15.491481image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.551136246
Coefficient of variation (CV)1.781296866
Kurtosis-0.4070965951
Mean1.432179158
Median Absolute Deviation (MAD)0
Skewness1.245248736
Sum274480
Variance6.508296146
MonotonicityNot monotonic
2021-05-29T15:55:15.630264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0145113
75.7%
639605
 
20.7%
72958
 
1.5%
52069
 
1.1%
31607
 
0.8%
4197
 
0.1%
287
 
< 0.1%
116
 
< 0.1%
ValueCountFrequency (%)
0145113
75.7%
116
 
< 0.1%
287
 
< 0.1%
31607
 
0.8%
4197
 
0.1%
ValueCountFrequency (%)
72958
 
1.5%
639605
20.7%
52069
 
1.1%
4197
 
0.1%
31607
 
0.8%

D19_SCHUHE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.598788429
Minimum0
Maximum7
Zeros163720
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:15.772249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.584453772
Coefficient of variation (CV)2.646099515
Kurtosis5.714806054
Mean0.598788429
Median Absolute Deviation (MAD)0
Skewness2.629301269
Sum114759
Variance2.510493755
MonotonicityNot monotonic
2021-05-29T15:55:15.878390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0163720
85.4%
39856
 
5.1%
67042
 
3.7%
54485
 
2.3%
23255
 
1.7%
71425
 
0.7%
11149
 
0.6%
4720
 
0.4%
ValueCountFrequency (%)
0163720
85.4%
11149
 
0.6%
23255
 
1.7%
39856
 
5.1%
4720
 
0.4%
ValueCountFrequency (%)
71425
 
0.7%
67042
3.7%
54485
2.3%
4720
 
0.4%
39856
5.1%

D19_SONSTIGE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.26943627
Minimum0
Maximum7
Zeros76573
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:15.971459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.88042826
Coefficient of variation (CV)0.8810167938
Kurtosis-1.807866063
Mean3.26943627
Median Absolute Deviation (MAD)3
Skewness-0.09844980588
Sum626594
Variance8.296866961
MonotonicityNot monotonic
2021-05-29T15:55:16.081003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
076573
40.0%
667813
35.4%
715835
 
8.3%
314059
 
7.3%
59521
 
5.0%
23534
 
1.8%
42568
 
1.3%
11749
 
0.9%
ValueCountFrequency (%)
076573
40.0%
11749
 
0.9%
23534
 
1.8%
314059
 
7.3%
42568
 
1.3%
ValueCountFrequency (%)
715835
 
8.3%
667813
35.4%
59521
 
5.0%
42568
 
1.3%
314059
 
7.3%

D19_SOZIALES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean1.243590011
Minimum0
Maximum5
Zeros22750
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:16.175546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.158866932
Coefficient of variation (CV)0.9318721779
Kurtosis3.602939994
Mean1.243590011
Median Absolute Deviation (MAD)0
Skewness1.984054596
Sum179021
Variance1.342972565
MonotonicityNot monotonic
2021-05-29T15:55:16.269580image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
198964
51.6%
022750
 
11.9%
56405
 
3.3%
45861
 
3.1%
25337
 
2.8%
34638
 
2.4%
(Missing)47697
24.9%
ValueCountFrequency (%)
022750
 
11.9%
198964
51.6%
25337
 
2.8%
34638
 
2.4%
45861
 
3.1%
ValueCountFrequency (%)
56405
 
3.3%
45861
 
3.1%
34638
 
2.4%
25337
 
2.8%
198964
51.6%

D19_TECHNIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.324233507
Minimum0
Maximum7
Zeros117416
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:16.351599image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.973774655
Coefficient of variation (CV)1.279464669
Kurtosis-1.633243217
Mean2.324233507
Median Absolute Deviation (MAD)0
Skewness0.5437674919
Sum445444
Variance8.843335698
MonotonicityNot monotonic
2021-05-29T15:55:16.443664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0117416
61.3%
650066
26.1%
716127
 
8.4%
54034
 
2.1%
33362
 
1.8%
4338
 
0.2%
2242
 
0.1%
167
 
< 0.1%
ValueCountFrequency (%)
0117416
61.3%
167
 
< 0.1%
2242
 
0.1%
33362
 
1.8%
4338
 
0.2%
ValueCountFrequency (%)
716127
 
8.4%
650066
26.1%
54034
 
2.1%
4338
 
0.2%
33362
 
1.8%

D19_TELKO_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04522780874
Minimum0
Maximum6
Zeros184467
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:16.527322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2466779489
Coefficient of variation (CV)5.454121165
Kurtosis56.35872517
Mean0.04522780874
Median Absolute Deviation (MAD)0
Skewness6.60333153
Sum8668
Variance0.06085001046
MonotonicityNot monotonic
2021-05-29T15:55:16.620253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0184467
96.3%
15850
 
3.1%
21231
 
0.6%
373
 
< 0.1%
423
 
< 0.1%
65
 
< 0.1%
53
 
< 0.1%
ValueCountFrequency (%)
0184467
96.3%
15850
 
3.1%
21231
 
0.6%
373
 
< 0.1%
423
 
< 0.1%
ValueCountFrequency (%)
65
 
< 0.1%
53
 
< 0.1%
423
 
< 0.1%
373
 
< 0.1%
21231
0.6%

D19_TELKO_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08687099535
Minimum0
Maximum6
Zeros178411
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:16.717993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3464445385
Coefficient of variation (CV)3.988034639
Kurtosis27.34333128
Mean0.08687099535
Median Absolute Deviation (MAD)0
Skewness4.731110702
Sum16649
Variance0.1200238183
MonotonicityNot monotonic
2021-05-29T15:55:16.812590image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0178411
93.1%
110214
 
5.3%
22736
 
1.4%
3217
 
0.1%
463
 
< 0.1%
56
 
< 0.1%
65
 
< 0.1%
ValueCountFrequency (%)
0178411
93.1%
110214
 
5.3%
22736
 
1.4%
3217
 
0.1%
463
 
< 0.1%
ValueCountFrequency (%)
65
 
< 0.1%
56
 
< 0.1%
463
 
< 0.1%
3217
 
0.1%
22736
1.4%

D19_TELKO_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.482014276
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:16.906943image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.288102745
Coefficient of variation (CV)0.1358469528
Kurtosis11.87268648
Mean9.482014276
Median Absolute Deviation (MAD)0
Skewness-3.27854404
Sum1817247
Variance1.659208682
MonotonicityNot monotonic
2021-05-29T15:55:17.008381image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10148915
77.7%
921496
 
11.2%
88000
 
4.2%
55042
 
2.6%
73137
 
1.6%
62919
 
1.5%
4877
 
0.5%
1491
 
0.3%
3401
 
0.2%
2374
 
0.2%
ValueCountFrequency (%)
1491
 
0.3%
2374
 
0.2%
3401
 
0.2%
4877
 
0.5%
55042
2.6%
ValueCountFrequency (%)
10148915
77.7%
921496
 
11.2%
88000
 
4.2%
73137
 
1.6%
62919
 
1.5%

D19_TELKO_MOBILE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.928693674
Minimum0
Maximum7
Zeros159544
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:17.111223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.124832386
Coefficient of variation (CV)2.287979821
Kurtosis1.867243737
Mean0.928693674
Median Absolute Deviation (MAD)0
Skewness1.931076588
Sum177986
Variance4.514912668
MonotonicityNot monotonic
2021-05-29T15:55:17.207702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0159544
83.2%
622238
 
11.6%
33761
 
2.0%
52680
 
1.4%
72460
 
1.3%
4433
 
0.2%
2387
 
0.2%
1149
 
0.1%
ValueCountFrequency (%)
0159544
83.2%
1149
 
0.1%
2387
 
0.2%
33761
 
2.0%
4433
 
0.2%
ValueCountFrequency (%)
72460
 
1.3%
622238
11.6%
52680
 
1.4%
4433
 
0.2%
33761
 
2.0%

D19_TELKO_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.799339428
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:17.298216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8326105321
Coefficient of variation (CV)0.08496598553
Kurtosis31.24514428
Mean9.799339428
Median Absolute Deviation (MAD)0
Skewness-5.284351942
Sum1878063
Variance0.6932402981
MonotonicityNot monotonic
2021-05-29T15:55:17.391586image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10175675
91.7%
97041
 
3.7%
84044
 
2.1%
52880
 
1.5%
6948
 
0.5%
7606
 
0.3%
4192
 
0.1%
1116
 
0.1%
378
 
< 0.1%
272
 
< 0.1%
ValueCountFrequency (%)
1116
 
0.1%
272
 
< 0.1%
378
 
< 0.1%
4192
 
0.1%
52880
1.5%
ValueCountFrequency (%)
10175675
91.7%
97041
 
3.7%
84044
 
2.1%
7606
 
0.3%
6948
 
0.5%

D19_TELKO_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.978001795
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:17.477261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2602371818
Coefficient of variation (CV)0.0260810919
Kurtosis354.110959
Mean9.978001795
Median Absolute Deviation (MAD)0
Skewness-16.90329219
Sum1912304
Variance0.06772339079
MonotonicityNot monotonic
2021-05-29T15:55:17.570740image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10189516
98.9%
91182
 
0.6%
8482
 
0.3%
7149
 
0.1%
5129
 
0.1%
6125
 
0.1%
436
 
< 0.1%
213
 
< 0.1%
311
 
< 0.1%
19
 
< 0.1%
ValueCountFrequency (%)
19
 
< 0.1%
213
 
< 0.1%
311
 
< 0.1%
436
 
< 0.1%
5129
0.1%
ValueCountFrequency (%)
10189516
98.9%
91182
 
0.6%
8482
 
0.3%
7149
 
0.1%
6125
 
0.1%

D19_TELKO_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean0.01360147268
Minimum0
Maximum10
Zeros143757
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:17.661539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3676462847
Coefficient of variation (CV)27.0298881
Kurtosis731.4226346
Mean0.01360147268
Median Absolute Deviation (MAD)0
Skewness27.06539429
Sum1958
Variance0.1351637906
MonotonicityNot monotonic
2021-05-29T15:55:17.749139image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0143757
75.0%
10194
 
0.1%
53
 
< 0.1%
31
 
< 0.1%
(Missing)47697
 
24.9%
ValueCountFrequency (%)
0143757
75.0%
31
 
< 0.1%
53
 
< 0.1%
10194
 
0.1%
ValueCountFrequency (%)
10194
 
0.1%
53
 
< 0.1%
31
 
< 0.1%
0143757
75.0%

D19_TELKO_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6513785403
Minimum0
Maximum7
Zeros168650
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:17.830473image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.811244014
Coefficient of variation (CV)2.780632002
Kurtosis4.579967189
Mean0.6513785403
Median Absolute Deviation (MAD)0
Skewness2.523157863
Sum124838
Variance3.28060488
MonotonicityNot monotonic
2021-05-29T15:55:17.928448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0168650
88.0%
614282
 
7.5%
53280
 
1.7%
33180
 
1.7%
71600
 
0.8%
4363
 
0.2%
2257
 
0.1%
140
 
< 0.1%
ValueCountFrequency (%)
0168650
88.0%
140
 
< 0.1%
2257
 
0.1%
33180
 
1.7%
4363
 
0.2%
ValueCountFrequency (%)
71600
 
0.8%
614282
7.5%
53280
 
1.7%
4363
 
0.2%
33180
 
1.7%

D19_TIERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2342474902
Minimum0
Maximum7
Zeros183788
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:18.026528image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.167000681
Coefficient of variation (CV)4.981913272
Kurtosis23.33408455
Mean0.2342474902
Median Absolute Deviation (MAD)0
Skewness4.969094841
Sum44894
Variance1.361890588
MonotonicityNot monotonic
2021-05-29T15:55:18.120083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0183788
95.9%
63266
 
1.7%
72524
 
1.3%
31136
 
0.6%
5737
 
0.4%
2129
 
0.1%
469
 
< 0.1%
13
 
< 0.1%
ValueCountFrequency (%)
0183788
95.9%
13
 
< 0.1%
2129
 
0.1%
31136
 
0.6%
469
 
< 0.1%
ValueCountFrequency (%)
72524
1.3%
63266
1.7%
5737
 
0.4%
469
 
< 0.1%
31136
 
0.6%

D19_VERSAND_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7712833678
Minimum0
Maximum6
Zeros122306
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:18.205239image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.254807319
Coefficient of variation (CV)1.626908308
Kurtosis2.23676537
Mean0.7712833678
Median Absolute Deviation (MAD)0
Skewness1.705917564
Sum147818
Variance1.574541407
MonotonicityNot monotonic
2021-05-29T15:55:18.308305image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0122306
63.8%
126714
 
13.9%
222076
 
11.5%
39132
 
4.8%
48085
 
4.2%
52818
 
1.5%
6521
 
0.3%
ValueCountFrequency (%)
0122306
63.8%
126714
 
13.9%
222076
 
11.5%
39132
 
4.8%
48085
 
4.2%
ValueCountFrequency (%)
6521
 
0.3%
52818
 
1.5%
48085
 
4.2%
39132
4.8%
222076
11.5%

D19_VERSAND_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.206285351
Minimum0
Maximum6
Zeros102484
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:18.393730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.622334458
Coefficient of variation (CV)1.344901069
Kurtosis0.3578673553
Mean1.206285351
Median Absolute Deviation (MAD)0
Skewness1.204625579
Sum231187
Variance2.631969093
MonotonicityNot monotonic
2021-05-29T15:55:18.486742image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0102484
53.5%
225723
 
13.4%
124973
 
13.0%
414353
 
7.5%
313073
 
6.8%
58139
 
4.2%
62907
 
1.5%
ValueCountFrequency (%)
0102484
53.5%
124973
 
13.0%
225723
 
13.4%
313073
 
6.8%
414353
 
7.5%
ValueCountFrequency (%)
62907
 
1.5%
58139
 
4.2%
414353
7.5%
313073
6.8%
225723
13.4%

D19_VERSAND_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.164167345
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:18.580706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.09421772
Coefficient of variation (CV)0.4319019323
Kurtosis-0.9017408821
Mean7.164167345
Median Absolute Deviation (MAD)1
Skewness-0.7122862189
Sum1373027
Variance9.574183296
MonotonicityNot monotonic
2021-05-29T15:55:18.673391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1073142
38.2%
923459
 
12.2%
521968
 
11.5%
114282
 
7.5%
813490
 
7.0%
211026
 
5.8%
610401
 
5.4%
48820
 
4.6%
78376
 
4.4%
36688
 
3.5%
ValueCountFrequency (%)
114282
7.5%
211026
5.8%
36688
 
3.5%
48820
4.6%
521968
11.5%
ValueCountFrequency (%)
1073142
38.2%
923459
 
12.2%
813490
 
7.0%
78376
 
4.4%
610401
 
5.4%

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.691237243
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:18.775259image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.987109535
Coefficient of variation (CV)0.2286336778
Kurtosis2.97058246
Mean8.691237243
Median Absolute Deviation (MAD)0
Skewness-1.842252112
Sum1665693
Variance3.948604306
MonotonicityNot monotonic
2021-05-29T15:55:18.875678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10100061
52.2%
936573
 
19.1%
820022
 
10.4%
512124
 
6.3%
77798
 
4.1%
66499
 
3.4%
22676
 
1.4%
42267
 
1.2%
11883
 
1.0%
31749
 
0.9%
ValueCountFrequency (%)
11883
 
1.0%
22676
 
1.4%
31749
 
0.9%
42267
 
1.2%
512124
6.3%
ValueCountFrequency (%)
10100061
52.2%
936573
 
19.1%
820022
 
10.4%
77798
 
4.1%
66499
 
3.4%

D19_VERSAND_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.699783983
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:18.971763image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.033626886
Coefficient of variation (CV)0.3939885707
Kurtosis-0.4137265446
Mean7.699783983
Median Absolute Deviation (MAD)0
Skewness-1.016201771
Sum1475679
Variance9.202892085
MonotonicityNot monotonic
2021-05-29T15:55:19.062553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1097607
50.9%
918669
 
9.7%
516569
 
8.6%
112310
 
6.4%
28830
 
4.6%
68793
 
4.6%
88782
 
4.6%
47615
 
4.0%
76967
 
3.6%
35510
 
2.9%
ValueCountFrequency (%)
112310
6.4%
28830
4.6%
35510
 
2.9%
47615
4.0%
516569
8.6%
ValueCountFrequency (%)
1097607
50.9%
918669
 
9.7%
88782
 
4.6%
76967
 
3.6%
68793
 
4.6%

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean3.216088361
Minimum0
Maximum10
Zeros92458
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:19.157843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.486796355
Coefficient of variation (CV)1.395109789
Kurtosis-1.355994287
Mean3.216088361
Median Absolute Deviation (MAD)0
Skewness0.7516134975
Sum462972
Variance20.13134154
MonotonicityNot monotonic
2021-05-29T15:55:19.264928image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
092458
48.2%
1039198
20.5%
53547
 
1.9%
82169
 
1.1%
72016
 
1.1%
31569
 
0.8%
91227
 
0.6%
6517
 
0.3%
2469
 
0.2%
4406
 
0.2%
(Missing)47697
24.9%
ValueCountFrequency (%)
092458
48.2%
1379
 
0.2%
2469
 
0.2%
31569
 
0.8%
4406
 
0.2%
ValueCountFrequency (%)
1039198
20.5%
91227
 
0.6%
82169
 
1.1%
72016
 
1.1%
6517
 
0.3%

D19_VERSAND_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7767672657
Minimum0
Maximum7
Zeros161199
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:19.365882image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.884115822
Coefficient of variation (CV)2.425586022
Kurtosis3.151972912
Mean0.7767672657
Median Absolute Deviation (MAD)0
Skewness2.193928047
Sum148869
Variance3.549892429
MonotonicityNot monotonic
2021-05-29T15:55:19.476106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0161199
84.1%
614194
 
7.4%
37554
 
3.9%
54884
 
2.5%
71610
 
0.8%
2952
 
0.5%
4730
 
0.4%
1529
 
0.3%
ValueCountFrequency (%)
0161199
84.1%
1529
 
0.3%
2952
 
0.5%
37554
 
3.9%
4730
 
0.4%
ValueCountFrequency (%)
71610
 
0.8%
614194
7.4%
54884
 
2.5%
4730
 
0.4%
37554
3.9%

D19_VERSI_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1017469163
Minimum0
Maximum6
Zeros177236
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:19.577759image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3933027945
Coefficient of variation (CV)3.865500881
Kurtosis24.98476259
Mean0.1017469163
Median Absolute Deviation (MAD)0
Skewness4.606203053
Sum19500
Variance0.1546870882
MonotonicityNot monotonic
2021-05-29T15:55:19.682960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0177236
92.5%
110135
 
5.3%
23639
 
1.9%
3496
 
0.3%
4133
 
0.1%
511
 
< 0.1%
62
 
< 0.1%
ValueCountFrequency (%)
0177236
92.5%
110135
 
5.3%
23639
 
1.9%
3496
 
0.3%
4133
 
0.1%
ValueCountFrequency (%)
62
 
< 0.1%
511
 
< 0.1%
4133
 
0.1%
3496
 
0.3%
23639
1.9%

D19_VERSI_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1758865026
Minimum0
Maximum6
Zeros168832
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:19.796284image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5395389456
Coefficient of variation (CV)3.06754036
Kurtosis15.68757288
Mean0.1758865026
Median Absolute Deviation (MAD)0
Skewness3.678268234
Sum33709
Variance0.2911022738
MonotonicityNot monotonic
2021-05-29T15:55:19.903205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0168832
88.1%
114342
 
7.5%
26691
 
3.5%
31236
 
0.6%
4486
 
0.3%
557
 
< 0.1%
68
 
< 0.1%
ValueCountFrequency (%)
0168832
88.1%
114342
 
7.5%
26691
 
3.5%
31236
 
0.6%
4486
 
0.3%
ValueCountFrequency (%)
68
 
< 0.1%
557
 
< 0.1%
4486
 
0.3%
31236
 
0.6%
26691
3.5%

D19_VERSI_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.209170789
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:20.008359image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.856679741
Coefficient of variation (CV)0.2016120435
Kurtosis6.730387969
Mean9.209170789
Median Absolute Deviation (MAD)0
Skewness-2.691987659
Sum1764956
Variance3.447259662
MonotonicityNot monotonic
2021-05-29T15:55:20.113823image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10146758
76.6%
915240
 
8.0%
86834
 
3.6%
56492
 
3.4%
64740
 
2.5%
73664
 
1.9%
23165
 
1.7%
41771
 
0.9%
11691
 
0.9%
31297
 
0.7%
ValueCountFrequency (%)
11691
 
0.9%
23165
1.7%
31297
 
0.7%
41771
 
0.9%
56492
3.4%
ValueCountFrequency (%)
10146758
76.6%
915240
 
8.0%
86834
 
3.6%
73664
 
1.9%
64740
 
2.5%

D19_VERSI_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.917298019
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:20.205989image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5634249934
Coefficient of variation (CV)0.05681234872
Kurtosis67.68284061
Mean9.917298019
Median Absolute Deviation (MAD)0
Skewness-7.986854681
Sum1900670
Variance0.3174477232
MonotonicityNot monotonic
2021-05-29T15:55:20.294064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10185928
97.0%
92136
 
1.1%
51723
 
0.9%
81216
 
0.6%
6365
 
0.2%
7197
 
0.1%
437
 
< 0.1%
224
 
< 0.1%
316
 
< 0.1%
110
 
< 0.1%
ValueCountFrequency (%)
110
 
< 0.1%
224
 
< 0.1%
316
 
< 0.1%
437
 
< 0.1%
51723
0.9%
ValueCountFrequency (%)
10185928
97.0%
92136
 
1.1%
81216
 
0.6%
7197
 
0.1%
6365
 
0.2%

D19_VERSI_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.98316219
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:20.381514image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2613317165
Coefficient of variation (CV)0.02617724841
Kurtosis430.3124448
Mean9.98316219
Median Absolute Deviation (MAD)0
Skewness-19.37376118
Sum1913293
Variance0.06829426607
MonotonicityNot monotonic
2021-05-29T15:55:20.472193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10190509
99.4%
9394
 
0.2%
8212
 
0.1%
7172
 
0.1%
5165
 
0.1%
6107
 
0.1%
449
 
< 0.1%
319
 
< 0.1%
113
 
< 0.1%
212
 
< 0.1%
ValueCountFrequency (%)
113
 
< 0.1%
212
 
< 0.1%
319
 
< 0.1%
449
 
< 0.1%
5165
0.1%
ValueCountFrequency (%)
10190509
99.4%
9394
 
0.2%
8212
 
0.1%
7172
 
0.1%
6107
 
0.1%

D19_VERSI_ONLINE_QUOTE_12
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing47697
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean0.01749852384
Minimum0
Maximum10
Zeros143697
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:20.557107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4153049015
Coefficient of variation (CV)23.73371064
Kurtosis567.8258964
Mean0.01749852384
Median Absolute Deviation (MAD)0
Skewness23.83343863
Sum2519
Variance0.1724781612
MonotonicityNot monotonic
2021-05-29T15:55:20.646106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0143697
75.0%
10245
 
0.1%
511
 
< 0.1%
72
 
< 0.1%
(Missing)47697
 
24.9%
ValueCountFrequency (%)
0143697
75.0%
511
 
< 0.1%
72
 
< 0.1%
10245
 
0.1%
ValueCountFrequency (%)
10245
 
0.1%
72
 
< 0.1%
511
 
< 0.1%
0143697
75.0%

D19_VERSICHERUNGEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.168612903
Minimum0
Maximum7
Zeros144720
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:20.732759image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.19925685
Coefficient of variation (CV)1.881937847
Kurtosis0.6245897634
Mean1.168612903
Median Absolute Deviation (MAD)0
Skewness1.533363389
Sum223967
Variance4.836730693
MonotonicityNot monotonic
2021-05-29T15:55:20.825870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0144720
75.5%
622074
 
11.5%
310135
 
5.3%
56224
 
3.2%
22731
 
1.4%
42180
 
1.1%
72038
 
1.1%
11550
 
0.8%
ValueCountFrequency (%)
0144720
75.5%
11550
 
0.8%
22731
 
1.4%
310135
 
5.3%
42180
 
1.1%
ValueCountFrequency (%)
72038
 
1.1%
622074
11.5%
56224
 
3.2%
42180
 
1.1%
310135
5.3%

D19_VOLLSORTIMENT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.365892347
Minimum0
Maximum7
Zeros108259
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:20.913046image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.841913651
Coefficient of variation (CV)1.201201591
Kurtosis-1.620472871
Mean2.365892347
Median Absolute Deviation (MAD)0
Skewness0.4846577738
Sum453428
Variance8.076473199
MonotonicityNot monotonic
2021-05-29T15:55:21.006054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0108259
56.5%
649475
25.8%
311622
 
6.1%
710499
 
5.5%
57668
 
4.0%
22051
 
1.1%
41233
 
0.6%
1845
 
0.4%
ValueCountFrequency (%)
0108259
56.5%
1845
 
0.4%
22051
 
1.1%
311622
 
6.1%
41233
 
0.6%
ValueCountFrequency (%)
710499
 
5.5%
649475
25.8%
57668
 
4.0%
41233
 
0.6%
311622
 
6.1%

D19_WEIN_FEINKOST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7881263958
Minimum0
Maximum7
Zeros166431
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:21.093678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.065434151
Coefficient of variation (CV)2.620688969
Kurtosis3.500394388
Mean0.7881263958
Median Absolute Deviation (MAD)0
Skewness2.312607798
Sum151046
Variance4.266018233
MonotonicityNot monotonic
2021-05-29T15:55:21.188582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0166431
86.8%
612974
 
6.8%
78408
 
4.4%
32107
 
1.1%
51425
 
0.7%
4150
 
0.1%
2143
 
0.1%
114
 
< 0.1%
ValueCountFrequency (%)
0166431
86.8%
114
 
< 0.1%
2143
 
0.1%
32107
 
1.1%
4150
 
0.1%
ValueCountFrequency (%)
78408
4.4%
612974
6.8%
51425
 
0.7%
4150
 
0.1%
32107
 
1.1%

DSL_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean0.9772023285
Minimum0
Maximum1
Zeros3231
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:21.280420image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1492584835
Coefficient of variation (CV)0.1527406139
Kurtosis38.88887259
Mean0.9772023285
Median Absolute Deviation (MAD)0
Skewness-6.394397845
Sum138494
Variance0.02227809491
MonotonicityNot monotonic
2021-05-29T15:55:21.378612image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1138494
72.3%
03231
 
1.7%
(Missing)49927
 
26.1%
ValueCountFrequency (%)
03231
 
1.7%
1138494
72.3%
ValueCountFrequency (%)
1138494
72.3%
03231
 
1.7%

EINGEFUEGT_AM
Categorical

HIGH CARDINALITY
MISSING

Distinct3034
Distinct (%)2.1%
Missing49927
Missing (%)26.1%
Memory size1.5 MiB
1992-02-10 00:00:00
64744 
1992-02-12 00:00:00
43686 
2003-11-18 00:00:00
 
1066
2005-12-16 00:00:00
 
808
1995-02-07 00:00:00
 
569
Other values (3029)
30852 

Unique

Unique1029 ?
Unique (%)0.7%

Sample

1st row1992-02-12 00:00:00
2nd row1992-02-10 00:00:00
3rd row1992-02-10 00:00:00
4th row1992-02-12 00:00:00
5th row1992-02-10 00:00:00

Common Values

ValueCountFrequency (%)
1992-02-10 00:00:0064744
33.8%
1992-02-12 00:00:0043686
22.8%
2003-11-18 00:00:001066
 
0.6%
2005-12-16 00:00:00808
 
0.4%
1995-02-07 00:00:00569
 
0.3%
2004-04-14 00:00:00443
 
0.2%
2005-08-23 00:00:00391
 
0.2%
2005-04-15 00:00:00363
 
0.2%
1993-03-01 00:00:00357
 
0.2%
1995-10-10 00:00:00317
 
0.2%
Other values (3024)28981
15.1%
(Missing)49927
26.1%

EINGEZOGENAM_HH_JAHR
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean1999.185053
Minimum1986
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:21.614855image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1986
5-th percentile1994
Q11994
median1997
Q32004
95-th percentile2012
Maximum2018
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.17809944
Coefficient of variation (CV)0.00309030894
Kurtosis-0.05160858788
Mean1999.185053
Median Absolute Deviation (MAD)3
Skewness1.019184149
Sum289993787
Variance38.1689127
MonotonicityNot monotonic
2021-05-29T15:55:21.729130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
199459559
31.1%
199716786
 
8.8%
20049028
 
4.7%
20015089
 
2.7%
19994920
 
2.6%
20004911
 
2.6%
19984717
 
2.5%
20024682
 
2.4%
20074074
 
2.1%
20083127
 
1.6%
Other values (23)28163
14.7%
(Missing)46596
24.3%
ValueCountFrequency (%)
19867
 
< 0.1%
198717
 
< 0.1%
198834
 
< 0.1%
198984
< 0.1%
1990124
0.1%
ValueCountFrequency (%)
201883
 
< 0.1%
201729
 
< 0.1%
2016336
 
0.2%
20152549
1.3%
20142281
1.2%

EWDICHTE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing49959
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.88170199
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:21.834446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.607620711
Coefficient of variation (CV)0.4141535633
Kurtosis-1.150113125
Mean3.88170199
Median Absolute Deviation (MAD)1
Skewness-0.2725504899
Sum550010
Variance2.584444349
MonotonicityNot monotonic
2021-05-29T15:55:21.941391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
532475
16.9%
627363
14.3%
427170
14.2%
225546
13.3%
317273
 
9.0%
111866
 
6.2%
(Missing)49959
26.1%
ValueCountFrequency (%)
111866
 
6.2%
225546
13.3%
317273
9.0%
427170
14.2%
532475
16.9%
ValueCountFrequency (%)
627363
14.3%
532475
16.9%
427170
14.2%
317273
9.0%
225546
13.3%

EXTSEL992
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)0.1%
Missing85283
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean38.4185994
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:22.066274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q129
median36
Q353
95-th percentile56
Maximum56
Range55
Interquartile range (IQR)24

Descriptive statistics

Standard deviation13.68946562
Coefficient of variation (CV)0.3563239116
Kurtosis-0.4832495904
Mean38.4185994
Median Absolute Deviation (MAD)11
Skewness-0.4013270401
Sum4086548
Variance187.4014689
MonotonicityNot monotonic
2021-05-29T15:55:22.214830image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5613656
 
7.1%
557324
 
3.8%
366436
 
3.4%
316299
 
3.3%
235991
 
3.1%
355546
 
2.9%
345147
 
2.7%
504434
 
2.3%
274207
 
2.2%
533373
 
1.8%
Other values (46)43956
22.9%
(Missing)85283
44.5%
ValueCountFrequency (%)
1253
 
0.1%
2517
0.3%
3847
0.4%
4292
 
0.2%
5267
 
0.1%
ValueCountFrequency (%)
5613656
7.1%
557324
3.8%
543279
 
1.7%
533373
 
1.8%
521082
 
0.6%

FINANZ_ANLEGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.439807568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:22.330072image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.697931919
Coefficient of variation (CV)0.695928622
Kurtosis-1.361260836
Mean2.439807568
Median Absolute Deviation (MAD)1
Skewness0.6284398669
Sum467594
Variance2.8829728
MonotonicityNot monotonic
2021-05-29T15:55:22.434915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
194437
49.3%
550216
26.2%
226488
 
13.8%
312943
 
6.8%
47568
 
3.9%
ValueCountFrequency (%)
194437
49.3%
226488
 
13.8%
312943
 
6.8%
47568
 
3.9%
550216
26.2%
ValueCountFrequency (%)
550216
26.2%
47568
 
3.9%
312943
 
6.8%
226488
 
13.8%
194437
49.3%

FINANZ_HAUSBAUER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.781176299
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:22.535691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.147352936
Coefficient of variation (CV)0.4125423247
Kurtosis-0.4444650242
Mean2.781176299
Median Absolute Deviation (MAD)1
Skewness0.3645580991
Sum533018
Variance1.316418759
MonotonicityNot monotonic
2021-05-29T15:55:22.645662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
372139
37.6%
253705
28.0%
125340
 
13.2%
521979
 
11.5%
418489
 
9.6%
ValueCountFrequency (%)
125340
 
13.2%
253705
28.0%
372139
37.6%
418489
 
9.6%
521979
 
11.5%
ValueCountFrequency (%)
521979
 
11.5%
418489
 
9.6%
372139
37.6%
253705
28.0%
125340
 
13.2%

FINANZ_MINIMALIST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.96377288
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:22.749473image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.036229698
Coefficient of variation (CV)0.2614250941
Kurtosis-1.026101537
Mean3.96377288
Median Absolute Deviation (MAD)1
Skewness-0.4017127499
Sum759665
Variance1.073771987
MonotonicityNot monotonic
2021-05-29T15:55:22.854114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
584449
44.1%
366439
34.7%
429162
 
15.2%
29853
 
5.1%
11749
 
0.9%
ValueCountFrequency (%)
11749
 
0.9%
29853
 
5.1%
366439
34.7%
429162
 
15.2%
584449
44.1%
ValueCountFrequency (%)
584449
44.1%
429162
 
15.2%
366439
34.7%
29853
 
5.1%
11749
 
0.9%

FINANZ_SPARER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.057051322
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:22.941736image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.31942176
Coefficient of variation (CV)0.6414141181
Kurtosis-1.270882913
Mean2.057051322
Median Absolute Deviation (MAD)0
Skewness0.6901530191
Sum394238
Variance1.74087378
MonotonicityNot monotonic
2021-05-29T15:55:23.032233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1105240
54.9%
450692
26.5%
224752
 
12.9%
39057
 
4.7%
51911
 
1.0%
ValueCountFrequency (%)
1105240
54.9%
224752
 
12.9%
39057
 
4.7%
450692
26.5%
51911
 
1.0%
ValueCountFrequency (%)
51911
 
1.0%
450692
26.5%
39057
 
4.7%
224752
 
12.9%
1105240
54.9%

FINANZ_UNAUFFAELLIGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.646176403
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:23.119652image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.586506089
Coefficient of variation (CV)0.599546609
Kurtosis-1.31626117
Mean2.646176403
Median Absolute Deviation (MAD)1
Skewness0.5109352912
Sum507145
Variance2.517001571
MonotonicityNot monotonic
2021-05-29T15:55:23.213593image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
161387
32.0%
251830
27.0%
551104
26.7%
322746
 
11.9%
44585
 
2.4%
ValueCountFrequency (%)
161387
32.0%
251830
27.0%
322746
 
11.9%
44585
 
2.4%
551104
26.7%
ValueCountFrequency (%)
551104
26.7%
44585
 
2.4%
322746
 
11.9%
251830
27.0%
161387
32.0%

FINANZ_VORSORGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.183316636
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:23.301969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9953650632
Coefficient of variation (CV)0.2379368214
Kurtosis-0.309472941
Mean4.183316636
Median Absolute Deviation (MAD)0
Skewness-0.8217365764
Sum801741
Variance0.990751609
MonotonicityNot monotonic
2021-05-29T15:55:23.393316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5104286
54.4%
354370
28.4%
426954
 
14.1%
23343
 
1.7%
12699
 
1.4%
ValueCountFrequency (%)
12699
 
1.4%
23343
 
1.7%
354370
28.4%
426954
 
14.1%
5104286
54.4%
ValueCountFrequency (%)
5104286
54.4%
426954
 
14.1%
354370
28.4%
23343
 
1.7%
12699
 
1.4%

FINANZTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.137958383
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:23.476954image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.503945795
Coefficient of variation (CV)0.3634511649
Kurtosis-1.093061913
Mean4.137958383
Median Absolute Deviation (MAD)1
Skewness-0.3987347994
Sum793048
Variance2.261852953
MonotonicityNot monotonic
2021-05-29T15:55:23.567278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
448442
25.3%
546792
24.4%
244277
23.1%
642831
22.3%
35235
 
2.7%
14075
 
2.1%
ValueCountFrequency (%)
14075
 
2.1%
244277
23.1%
35235
 
2.7%
448442
25.3%
546792
24.4%
ValueCountFrequency (%)
642831
22.3%
546792
24.4%
448442
25.3%
35235
 
2.7%
244277
23.1%

FIRMENDICHTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.58001764
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:23.649578image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.051071624
Coefficient of variation (CV)0.2935939791
Kurtosis-0.4752324578
Mean3.58001764
Median Absolute Deviation (MAD)1
Skewness-0.4522959686
Sum507378
Variance1.104751559
MonotonicityNot monotonic
2021-05-29T15:55:23.739177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
454008
28.2%
335438
18.5%
528282
14.8%
219625
 
10.2%
14372
 
2.3%
(Missing)49927
26.1%
ValueCountFrequency (%)
14372
 
2.3%
219625
 
10.2%
335438
18.5%
454008
28.2%
528282
14.8%
ValueCountFrequency (%)
528282
14.8%
454008
28.2%
335438
18.5%
219625
 
10.2%
14372
 
2.3%

GEBAEUDETYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean2.369941789
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:23.831149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.434226862
Coefficient of variation (CV)1.02712517
Kurtosis1.207693379
Mean2.369941789
Median Absolute Deviation (MAD)0
Skewness1.674515617
Sum335880
Variance5.925460416
MonotonicityNot monotonic
2021-05-29T15:55:23.936208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
195145
49.6%
323655
 
12.3%
820475
 
10.7%
22057
 
1.1%
4251
 
0.1%
6142
 
0.1%
(Missing)49927
26.1%
ValueCountFrequency (%)
195145
49.6%
22057
 
1.1%
323655
 
12.3%
4251
 
0.1%
6142
 
0.1%
ValueCountFrequency (%)
820475
10.7%
6142
 
0.1%
4251
 
0.1%
323655
12.3%
22057
 
1.1%

GEBAEUDETYP_RASTER
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.852524255
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:24.036834image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8302845101
Coefficient of variation (CV)0.2155170105
Kurtosis0.7751092996
Mean3.852524255
Median Absolute Deviation (MAD)0
Skewness-0.7050827219
Sum545999
Variance0.6893723678
MonotonicityNot monotonic
2021-05-29T15:55:24.147727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
474249
38.7%
330875
16.1%
528282
 
14.8%
26649
 
3.5%
11670
 
0.9%
(Missing)49927
26.1%
ValueCountFrequency (%)
11670
 
0.9%
26649
 
3.5%
330875
16.1%
474249
38.7%
528282
 
14.8%
ValueCountFrequency (%)
528282
 
14.8%
474249
38.7%
330875
16.1%
26649
 
3.5%
11670
 
0.9%

GEBURTSJAHR
Real number (ℝ≥0)

ZEROS

Distinct113
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1003.392733
Minimum0
Maximum2017
Zeros93024
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:24.283877image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1926
Q31949
95-th percentile1970
Maximum2017
Range2017
Interquartile range (IQR)1949

Descriptive statistics

Standard deviation974.5310809
Coefficient of variation (CV)0.971235937
Kurtosis-1.996152602
Mean1003.392733
Median Absolute Deviation (MAD)54
Skewness-0.05814304244
Sum192302224
Variance949710.8276
MonotonicityNot monotonic
2021-05-29T15:55:24.423321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
093024
48.5%
19413535
 
1.8%
19403085
 
1.6%
19393071
 
1.6%
19432875
 
1.5%
19422802
 
1.5%
19382775
 
1.4%
19442625
 
1.4%
19372603
 
1.4%
19362443
 
1.3%
Other values (103)72814
38.0%
ValueCountFrequency (%)
093024
48.5%
19003
 
< 0.1%
19021
 
< 0.1%
19081
 
< 0.1%
19091
 
< 0.1%
ValueCountFrequency (%)
201745
< 0.1%
20167
 
< 0.1%
201550
< 0.1%
201419
 
< 0.1%
201339
< 0.1%

GEMEINDETYP
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing50476
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean24.77668301
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:24.518980image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median22
Q330
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.75850998
Coefficient of variation (CV)0.4745796675
Kurtosis-0.6734788608
Mean24.77668301
Median Absolute Deviation (MAD)10
Skewness0.5624746734
Sum3497873
Variance138.262557
MonotonicityNot monotonic
2021-05-29T15:55:24.606811image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2229808
15.6%
3024748
12.9%
1222494
11.7%
4021736
11.3%
1119992
 
10.4%
2113087
 
6.8%
509311
 
4.9%
(Missing)50476
26.3%
ValueCountFrequency (%)
1119992
10.4%
1222494
11.7%
2113087
6.8%
2229808
15.6%
3024748
12.9%
ValueCountFrequency (%)
509311
 
4.9%
4021736
11.3%
3024748
12.9%
2229808
15.6%
2113087
6.8%

GFK_URLAUBERTYP
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean6.302267577
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:24.694026image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q39
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.877181228
Coefficient of variation (CV)0.4565311124
Kurtosis-0.8363825052
Mean6.302267577
Median Absolute Deviation (MAD)2
Skewness0.2531100866
Sum1187593
Variance8.278171818
MonotonicityNot monotonic
2021-05-29T15:55:24.783638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
558113
30.3%
1027291
14.2%
817631
 
9.2%
416361
 
8.5%
314684
 
7.7%
713826
 
7.2%
18782
 
4.6%
117486
 
3.9%
127303
 
3.8%
66373
 
3.3%
Other values (2)10589
 
5.5%
ValueCountFrequency (%)
18782
 
4.6%
25073
 
2.6%
314684
 
7.7%
416361
 
8.5%
558113
30.3%
ValueCountFrequency (%)
127303
 
3.8%
117486
 
3.9%
1027291
14.2%
95516
 
2.9%
817631
9.2%

GREEN_AVANTGARDE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3671707052
Minimum0
Maximum1
Zeros121283
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:24.864115image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.482034844
Coefficient of variation (CV)1.312835793
Kurtosis-1.696279145
Mean0.3671707052
Median Absolute Deviation (MAD)0
Skewness0.5511248101
Sum70369
Variance0.2323575908
MonotonicityNot monotonic
2021-05-29T15:55:24.948219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0121283
63.3%
170369
36.7%
ValueCountFrequency (%)
0121283
63.3%
170369
36.7%
ValueCountFrequency (%)
170369
36.7%
0121283
63.3%

HEALTH_TYP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.198396051
Minimum-1
Maximum3
Zeros0
Zeros (%)0.0%
Negative48990
Negative (%)25.6%
Memory size1.5 MiB
2021-05-29T15:55:25.028702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median2
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.450937392
Coefficient of variation (CV)1.210732788
Kurtosis-1.134817139
Mean1.198396051
Median Absolute Deviation (MAD)1
Skewness-0.4448389426
Sum229675
Variance2.105219315
MonotonicityNot monotonic
2021-05-29T15:55:25.118729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
256955
29.7%
-148990
25.6%
146183
24.1%
339524
20.6%
ValueCountFrequency (%)
-148990
25.6%
146183
24.1%
256955
29.7%
339524
20.6%
ValueCountFrequency (%)
339524
20.6%
256955
29.7%
146183
24.1%
-148990
25.6%

HH_DELTA_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing53742
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean0.1497135813
Minimum0
Maximum1
Zeros117263
Zeros (%)61.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:25.203356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3567917431
Coefficient of variation (CV)2.383162169
Kurtosis1.855605815
Mean0.1497135813
Median Absolute Deviation (MAD)0
Skewness1.963562809
Sum20647
Variance0.127300348
MonotonicityNot monotonic
2021-05-29T15:55:25.287571image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0117263
61.2%
120647
 
10.8%
(Missing)53742
28.0%
ValueCountFrequency (%)
0117263
61.2%
120647
 
10.8%
ValueCountFrequency (%)
120647
 
10.8%
0117263
61.2%

HH_EINKOMMEN_SCORE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing2968
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean2.942480549
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:25.365954image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.533347234
Coefficient of variation (CV)0.5211070077
Kurtosis-0.8746764077
Mean2.942480549
Median Absolute Deviation (MAD)1
Skewness0.5570660097
Sum555199
Variance2.351153741
MonotonicityNot monotonic
2021-05-29T15:55:25.455554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
270160
36.6%
129936
15.6%
427674
 
14.4%
523923
 
12.5%
322438
 
11.7%
614553
 
7.6%
(Missing)2968
 
1.5%
ValueCountFrequency (%)
129936
15.6%
270160
36.6%
322438
 
11.7%
427674
 
14.4%
523923
 
12.5%
ValueCountFrequency (%)
614553
 
7.6%
523923
 
12.5%
427674
 
14.4%
322438
 
11.7%
270160
36.6%

INNENSTADT
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing49959
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean4.784576514
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:25.536638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.96147294
Coefficient of variation (CV)0.409957482
Kurtosis-0.8055497713
Mean4.784576514
Median Absolute Deviation (MAD)1
Skewness0.005190446354
Sum677941
Variance3.847376094
MonotonicityNot monotonic
2021-05-29T15:55:25.625594image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
528031
14.6%
427700
14.5%
619532
 
10.2%
818075
 
9.4%
315792
 
8.2%
214371
 
7.5%
711814
 
6.2%
16378
 
3.3%
(Missing)49959
26.1%
ValueCountFrequency (%)
16378
 
3.3%
214371
7.5%
315792
8.2%
427700
14.5%
528031
14.6%
ValueCountFrequency (%)
818075
9.4%
711814
6.2%
619532
10.2%
528031
14.6%
427700
14.5%

KBA05_ALTER1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.592075004
Minimum0
Maximum9
Zeros22932
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:25.710116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.201312382
Coefficient of variation (CV)0.7545576553
Kurtosis8.267882678
Mean1.592075004
Median Absolute Deviation (MAD)1
Skewness1.678464283
Sum216000
Variance1.44315144
MonotonicityNot monotonic
2021-05-29T15:55:25.794153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
144232
23.1%
243590
22.7%
022932
12.0%
319749
 
10.3%
44236
 
2.2%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
022932
12.0%
144232
23.1%
243590
22.7%
319749
10.3%
44236
 
2.2%
ValueCountFrequency (%)
9933
 
0.5%
44236
 
2.2%
319749
10.3%
243590
22.7%
144232
23.1%

KBA05_ALTER2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.797548499
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:25.885463image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.138182474
Coefficient of variation (CV)0.4068499524
Kurtosis4.736317378
Mean2.797548499
Median Absolute Deviation (MAD)1
Skewness1.144628188
Sum379549
Variance1.295459344
MonotonicityNot monotonic
2021-05-29T15:55:25.974859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
352638
27.5%
238751
20.2%
421474
 
11.2%
114885
 
7.8%
56991
 
3.6%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
114885
 
7.8%
238751
20.2%
352638
27.5%
421474
11.2%
56991
 
3.6%
ValueCountFrequency (%)
9933
 
0.5%
56991
 
3.6%
421474
11.2%
352638
27.5%
238751
20.2%

KBA05_ALTER3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.170506811
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:26.057274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.144634922
Coefficient of variation (CV)0.3610258518
Kurtosis3.380510694
Mean3.170506811
Median Absolute Deviation (MAD)1
Skewness0.79725924
Sum430149
Variance1.310189104
MonotonicityNot monotonic
2021-05-29T15:55:26.145840image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354227
28.3%
431966
16.7%
226013
13.6%
514162
 
7.4%
18371
 
4.4%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
18371
 
4.4%
226013
13.6%
354227
28.3%
431966
16.7%
514162
 
7.4%
ValueCountFrequency (%)
9933
 
0.5%
514162
 
7.4%
431966
16.7%
354227
28.3%
226013
13.6%

KBA05_ALTER4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.315606757
Minimum0
Maximum9
Zeros2435
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:26.233383image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.197247528
Coefficient of variation (CV)0.3610945493
Kurtosis2.936314364
Mean3.315606757
Median Absolute Deviation (MAD)1
Skewness0.2757794943
Sum449835
Variance1.433401643
MonotonicityNot monotonic
2021-05-29T15:55:26.316465image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
353439
27.9%
437377
19.5%
518294
 
9.5%
216949
 
8.8%
16245
 
3.3%
02435
 
1.3%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
02435
 
1.3%
16245
 
3.3%
216949
 
8.8%
353439
27.9%
437377
19.5%
ValueCountFrequency (%)
9933
 
0.5%
518294
 
9.5%
437377
19.5%
353439
27.9%
216949
 
8.8%

KBA05_ANHANG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.164794504
Minimum0
Maximum9
Zeros36170
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:26.399219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.138406712
Coefficient of variation (CV)0.9773455385
Kurtosis12.62911307
Mean1.164794504
Median Absolute Deviation (MAD)1
Skewness2.40768574
Sum158030
Variance1.295969842
MonotonicityNot monotonic
2021-05-29T15:55:26.494828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
165089
34.0%
036170
18.9%
318018
 
9.4%
215524
 
8.1%
9871
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
036170
18.9%
165089
34.0%
215524
 
8.1%
318018
 
9.4%
9871
 
0.5%
ValueCountFrequency (%)
9871
 
0.5%
318018
 
9.4%
215524
 
8.1%
165089
34.0%
036170
18.9%

KBA05_ANTG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.207058199
Minimum0
Maximum4
Zeros22465
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:26.589264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.38350859
Coefficient of variation (CV)0.626856415
Kurtosis-1.179724037
Mean2.207058199
Median Absolute Deviation (MAD)1
Skewness-0.2415022388
Sum299436
Variance1.91409602
MonotonicityNot monotonic
2021-05-29T15:55:26.697733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
333109
17.3%
430408
15.9%
228787
15.0%
022465
11.7%
120903
 
10.9%
(Missing)55980
29.2%
ValueCountFrequency (%)
022465
11.7%
120903
10.9%
228787
15.0%
333109
17.3%
430408
15.9%
ValueCountFrequency (%)
430408
15.9%
333109
17.3%
228787
15.0%
120903
10.9%
022465
11.7%

KBA05_ANTG2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.209004069
Minimum0
Maximum4
Zeros43729
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:26.799674image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.086202392
Coefficient of variation (CV)0.8984274083
Kurtosis-0.6215466687
Mean1.209004069
Median Absolute Deviation (MAD)1
Skewness0.5436267087
Sum164028
Variance1.179835636
MonotonicityNot monotonic
2021-05-29T15:55:26.903628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
043729
22.8%
142079
22.0%
230513
15.9%
316481
 
8.6%
42870
 
1.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
043729
22.8%
142079
22.0%
230513
15.9%
316481
 
8.6%
42870
 
1.5%
ValueCountFrequency (%)
42870
 
1.5%
316481
 
8.6%
230513
15.9%
142079
22.0%
043729
22.8%

KBA05_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean0.3099681585
Minimum0
Maximum3
Zeros112655
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:27.008335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7652915865
Coefficient of variation (CV)2.468936133
Kurtosis5.198783242
Mean0.3099681585
Median Absolute Deviation (MAD)0
Skewness2.508589013
Sum42054
Variance0.5856712124
MonotonicityNot monotonic
2021-05-29T15:55:27.116446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0112655
58.8%
110163
 
5.3%
26671
 
3.5%
36183
 
3.2%
(Missing)55980
29.2%
ValueCountFrequency (%)
0112655
58.8%
110163
 
5.3%
26671
 
3.5%
36183
 
3.2%
ValueCountFrequency (%)
36183
 
3.2%
26671
 
3.5%
110163
 
5.3%
0112655
58.8%

KBA05_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean0.1533846335
Minimum0
Maximum2
Zeros121487
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:27.220121image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4769921101
Coefficient of variation (CV)3.109777682
Kurtosis8.531849005
Mean0.1533846335
Median Absolute Deviation (MAD)0
Skewness3.115156915
Sum20810
Variance0.2275214731
MonotonicityNot monotonic
2021-05-29T15:55:27.326901image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0121487
63.4%
17560
 
3.9%
26625
 
3.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
0121487
63.4%
17560
 
3.9%
26625
 
3.5%
ValueCountFrequency (%)
26625
 
3.5%
17560
 
3.9%
0121487
63.4%

KBA05_AUTOQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.585139159
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:27.427380image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.081234251
Coefficient of variation (CV)0.3015878054
Kurtosis3.504972143
Mean3.585139159
Median Absolute Deviation (MAD)1
Skewness0.3952850565
Sum486403
Variance1.169067506
MonotonicityNot monotonic
2021-05-29T15:55:27.515816image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
452193
27.2%
344460
23.2%
521682
 
11.3%
211032
 
5.8%
15371
 
2.8%
9934
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
15371
 
2.8%
211032
 
5.8%
344460
23.2%
452193
27.2%
521682
11.3%
ValueCountFrequency (%)
9934
 
0.5%
521682
11.3%
452193
27.2%
344460
23.2%
211032
 
5.8%

KBA05_BAUMAX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.043826287
Minimum0
Maximum5
Zeros53555
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:27.595535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.384973137
Coefficient of variation (CV)1.326823395
Kurtosis2.626944134
Mean1.043826287
Median Absolute Deviation (MAD)1
Skewness1.863135698
Sum141618
Variance1.918150591
MonotonicityNot monotonic
2021-05-29T15:55:27.684210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
163408
33.1%
053555
27.9%
59981
 
5.2%
34877
 
2.5%
42986
 
1.6%
2865
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
053555
27.9%
163408
33.1%
2865
 
0.5%
34877
 
2.5%
42986
 
1.6%
ValueCountFrequency (%)
59981
 
5.2%
42986
 
1.6%
34877
 
2.5%
2865
 
0.5%
163408
33.1%

KBA05_CCM1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.812923816
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:27.764619image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.098849925
Coefficient of variation (CV)0.3906433294
Kurtosis5.601212496
Mean2.812923816
Median Absolute Deviation (MAD)1
Skewness1.227273526
Sum381635
Variance1.207471157
MonotonicityNot monotonic
2021-05-29T15:55:27.851930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
356364
29.4%
238167
19.9%
421340
 
11.1%
112972
 
6.8%
55896
 
3.1%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
112972
 
6.8%
238167
19.9%
356364
29.4%
421340
 
11.1%
55896
 
3.1%
ValueCountFrequency (%)
9933
 
0.5%
55896
 
3.1%
421340
 
11.1%
356364
29.4%
238167
19.9%

KBA05_CCM2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.940783655
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:27.935468image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.086483205
Coefficient of variation (CV)0.3694536328
Kurtosis5.377674774
Mean2.940783655
Median Absolute Deviation (MAD)1
Skewness1.121395826
Sum398982
Variance1.180445754
MonotonicityNot monotonic
2021-05-29T15:55:28.025918image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
358873
30.7%
232678
17.1%
426130
13.6%
110300
 
5.4%
56758
 
3.5%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
110300
 
5.4%
232678
17.1%
358873
30.7%
426130
13.6%
56758
 
3.5%
ValueCountFrequency (%)
9933
 
0.5%
56758
 
3.5%
426130
13.6%
358873
30.7%
232678
17.1%

KBA05_CCM3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.276630403
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:28.110257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.081889258
Coefficient of variation (CV)0.3301834887
Kurtosis4.201918951
Mean3.276630403
Median Absolute Deviation (MAD)1
Skewness0.8656901725
Sum444547
Variance1.170484366
MonotonicityNot monotonic
2021-05-29T15:55:28.200672image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
357173
29.8%
436757
19.2%
221466
 
11.2%
513832
 
7.2%
15511
 
2.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
15511
 
2.9%
221466
 
11.2%
357173
29.8%
436757
19.2%
513832
 
7.2%
ValueCountFrequency (%)
9933
 
0.5%
513832
 
7.2%
436757
19.2%
357173
29.8%
221466
 
11.2%

KBA05_CCM4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.544423315
Minimum0
Maximum9
Zeros32427
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:28.287228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.374065005
Coefficient of variation (CV)0.889694549
Kurtosis4.387002818
Mean1.544423315
Median Absolute Deviation (MAD)1
Skewness1.389649065
Sum209535
Variance1.888054637
MonotonicityNot monotonic
2021-05-29T15:55:28.374210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
144675
23.3%
032427
16.9%
227960
14.6%
318165
 
9.5%
411512
 
6.0%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
032427
16.9%
144675
23.3%
227960
14.6%
318165
9.5%
411512
 
6.0%
ValueCountFrequency (%)
9933
 
0.5%
411512
 
6.0%
318165
9.5%
227960
14.6%
144675
23.3%

KBA05_DIESEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.229420956
Minimum0
Maximum9
Zeros5076
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:28.457288image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.109139093
Coefficient of variation (CV)0.4975009719
Kurtosis8.074574473
Mean2.229420956
Median Absolute Deviation (MAD)1
Skewness1.461198503
Sum302470
Variance1.230189527
MonotonicityNot monotonic
2021-05-29T15:55:28.540165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
258062
30.3%
334964
18.2%
124497
12.8%
412140
 
6.3%
05076
 
2.6%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
05076
 
2.6%
124497
12.8%
258062
30.3%
334964
18.2%
412140
 
6.3%
ValueCountFrequency (%)
9933
 
0.5%
412140
 
6.3%
334964
18.2%
258062
30.3%
124497
12.8%

KBA05_FRAU
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.097639896
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:28.619995image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.100045746
Coefficient of variation (CV)0.3551238306
Kurtosis4.498935757
Mean3.097639896
Median Absolute Deviation (MAD)1
Skewness0.9893713375
Sum420263
Variance1.210100643
MonotonicityNot monotonic
2021-05-29T15:55:28.710432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
359831
31.2%
428830
15.0%
227087
14.1%
510972
 
5.7%
18019
 
4.2%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
18019
 
4.2%
227087
14.1%
359831
31.2%
428830
15.0%
510972
 
5.7%
ValueCountFrequency (%)
9933
 
0.5%
510972
 
5.7%
428830
15.0%
359831
31.2%
227087
14.1%

KBA05_GBZ
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.630402736
Minimum0
Maximum5
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:28.792999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.168496161
Coefficient of variation (CV)0.3218640592
Kurtosis-0.3469478714
Mean3.630402736
Median Absolute Deviation (MAD)1
Skewness-0.6267723131
Sum492544
Variance1.365383279
MonotonicityNot monotonic
2021-05-29T15:55:28.880028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
443018
22.4%
536629
19.1%
334714
18.1%
211876
 
6.2%
19433
 
4.9%
02
 
< 0.1%
(Missing)55980
29.2%
ValueCountFrequency (%)
02
 
< 0.1%
19433
 
4.9%
211876
 
6.2%
334714
18.1%
443018
22.4%
ValueCountFrequency (%)
536629
19.1%
443018
22.4%
334714
18.1%
211876
 
6.2%
19433
 
4.9%

KBA05_HERST1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.791873047
Minimum0
Maximum9
Zeros5354
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:28.962788image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.382876588
Coefficient of variation (CV)0.4953221602
Kurtosis1.626104281
Mean2.791873047
Median Absolute Deviation (MAD)1
Skewness0.5606794931
Sum378779
Variance1.912347659
MonotonicityNot monotonic
2021-05-29T15:55:29.064980image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
238948
20.3%
338091
19.9%
421593
 
11.3%
115481
 
8.1%
515272
 
8.0%
05354
 
2.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
05354
 
2.8%
115481
 
8.1%
238948
20.3%
338091
19.9%
421593
11.3%
ValueCountFrequency (%)
9933
 
0.5%
515272
 
8.0%
421593
11.3%
338091
19.9%
238948
20.3%

KBA05_HERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.186457043
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:29.164834image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.081791869
Coefficient of variation (CV)0.3394967685
Kurtosis4.485782146
Mean3.186457043
Median Absolute Deviation (MAD)1
Skewness0.9951617215
Sum432313
Variance1.170273649
MonotonicityNot monotonic
2021-05-29T15:55:29.274935image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
357977
30.3%
432809
17.1%
226240
13.7%
512139
 
6.3%
15574
 
2.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
15574
 
2.9%
226240
13.7%
357977
30.3%
432809
17.1%
512139
 
6.3%
ValueCountFrequency (%)
9933
 
0.5%
512139
 
6.3%
432809
17.1%
357977
30.3%
226240
13.7%

KBA05_HERST3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.832507813
Minimum0
Maximum9
Zeros1918
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:29.380005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.183915028
Coefficient of variation (CV)0.4179741439
Kurtosis3.972805518
Mean2.832507813
Median Absolute Deviation (MAD)1
Skewness0.8177614901
Sum384292
Variance1.401654794
MonotonicityNot monotonic
2021-05-29T15:55:29.478779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
354606
28.5%
233031
17.2%
423549
12.3%
114089
 
7.4%
57546
 
3.9%
01918
 
1.0%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
01918
 
1.0%
114089
 
7.4%
233031
17.2%
354606
28.5%
423549
12.3%
ValueCountFrequency (%)
9933
 
0.5%
57546
 
3.9%
423549
12.3%
354606
28.5%
233031
17.2%

KBA05_HERST4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.781775164
Minimum0
Maximum9
Zeros3323
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:29.577338image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.251338051
Coefficient of variation (CV)0.4498343603
Kurtosis3.093951437
Mean2.781775164
Median Absolute Deviation (MAD)1
Skewness0.6926824009
Sum377409
Variance1.565846918
MonotonicityNot monotonic
2021-05-29T15:55:29.677001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
349414
25.8%
234231
17.9%
423303
12.2%
115811
 
8.2%
58657
 
4.5%
03323
 
1.7%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
03323
 
1.7%
115811
 
8.2%
234231
17.9%
349414
25.8%
423303
12.2%
ValueCountFrequency (%)
9933
 
0.5%
58657
 
4.5%
423303
12.2%
349414
25.8%
234231
17.9%

KBA05_HERST5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.637286986
Minimum0
Maximum9
Zeros6536
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:29.775438image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.281040486
Coefficient of variation (CV)0.4857417842
Kurtosis3.097299781
Mean2.637286986
Median Absolute Deviation (MAD)1
Skewness0.6075345583
Sum357806
Variance1.641064727
MonotonicityNot monotonic
2021-05-29T15:55:29.874049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
347060
24.6%
236128
18.9%
422702
11.8%
116600
 
8.7%
06536
 
3.4%
55713
 
3.0%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
06536
 
3.4%
116600
 
8.7%
236128
18.9%
347060
24.6%
422702
11.8%
ValueCountFrequency (%)
9933
 
0.5%
55713
 
3.0%
422702
11.8%
347060
24.6%
236128
18.9%

KBA05_HERSTTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean2.635900512
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:29.968774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.345302872
Coefficient of variation (CV)0.5103769531
Kurtosis2.926074855
Mean2.635900512
Median Absolute Deviation (MAD)1
Skewness1.10300346
Sum373573
Variance1.809839817
MonotonicityNot monotonic
2021-05-29T15:55:30.068742image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
239565
20.6%
336916
19.3%
131375
16.4%
422189
11.6%
510389
 
5.4%
91291
 
0.7%
(Missing)49927
26.1%
ValueCountFrequency (%)
131375
16.4%
239565
20.6%
336916
19.3%
422189
11.6%
510389
 
5.4%
ValueCountFrequency (%)
91291
 
0.7%
510389
 
5.4%
422189
11.6%
336916
19.3%
239565
20.6%

KBA05_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.432882245
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:30.153292image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.146147698
Coefficient of variation (CV)0.3338732924
Kurtosis2.703972222
Mean3.432882245
Median Absolute Deviation (MAD)1
Skewness0.5289774311
Sum465746
Variance1.313654545
MonotonicityNot monotonic
2021-05-29T15:55:30.240955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
351784
27.0%
437551
19.6%
522505
11.7%
216369
 
8.5%
16530
 
3.4%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
16530
 
3.4%
216369
 
8.5%
351784
27.0%
437551
19.6%
522505
11.7%
ValueCountFrequency (%)
9933
 
0.5%
522505
11.7%
437551
19.6%
351784
27.0%
216369
 
8.5%

KBA05_KRSHERST1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.153568901
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:30.325608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.102287526
Coefficient of variation (CV)0.3495365284
Kurtosis4.176923227
Mean3.153568901
Median Absolute Deviation (MAD)1
Skewness0.8807288914
Sum427851
Variance1.215037789
MonotonicityNot monotonic
2021-05-29T15:55:30.413746image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354162
28.3%
435643
18.6%
226974
14.1%
510622
 
5.5%
17338
 
3.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
17338
 
3.8%
226974
14.1%
354162
28.3%
435643
18.6%
510622
 
5.5%
ValueCountFrequency (%)
9933
 
0.5%
510622
 
5.5%
435643
18.6%
354162
28.3%
226974
14.1%

KBA05_KRSHERST2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.131596792
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:30.498396image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.128022417
Coefficient of variation (CV)0.3602067863
Kurtosis3.820571144
Mean3.131596792
Median Absolute Deviation (MAD)1
Skewness0.839196906
Sum424870
Variance1.272434572
MonotonicityNot monotonic
2021-05-29T15:55:30.588394image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
356249
29.3%
431873
16.6%
225649
13.4%
511992
 
6.3%
18976
 
4.7%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
18976
 
4.7%
225649
13.4%
356249
29.3%
431873
16.6%
511992
 
6.3%
ValueCountFrequency (%)
9933
 
0.5%
511992
 
6.3%
431873
16.6%
356249
29.3%
225649
13.4%

KBA05_KRSHERST3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.94104163
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:30.673551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.164364988
Coefficient of variation (CV)0.3959022465
Kurtosis3.768932513
Mean2.94104163
Median Absolute Deviation (MAD)1
Skewness0.9626158155
Sum399017
Variance1.355745826
MonotonicityNot monotonic
2021-05-29T15:55:30.763937image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354705
28.5%
232629
17.0%
423810
12.4%
112992
 
6.8%
510603
 
5.5%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
112992
 
6.8%
232629
17.0%
354705
28.5%
423810
12.4%
510603
 
5.5%
ValueCountFrequency (%)
9933
 
0.5%
510603
 
5.5%
423810
12.4%
354705
28.5%
232629
17.0%

KBA05_KRSKLEIN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.013024058
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:30.847188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8354358366
Coefficient of variation (CV)0.4150153264
Kurtosis31.3906896
Mean2.013024058
Median Absolute Deviation (MAD)0
Skewness3.93835291
Sum273111
Variance0.697953037
MonotonicityNot monotonic
2021-05-29T15:55:30.934387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
285741
44.7%
126881
 
14.0%
322117
 
11.5%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
126881
 
14.0%
285741
44.7%
322117
 
11.5%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
322117
 
11.5%
285741
44.7%
126881
 
14.0%

KBA05_KRSOBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.104214576
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:31.017205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8295547846
Coefficient of variation (CV)0.3942348817
Kurtosis30.60203958
Mean2.104214576
Median Absolute Deviation (MAD)0
Skewness3.851359043
Sum285483
Variance0.6881611406
MonotonicityNot monotonic
2021-05-29T15:55:31.115461image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
285619
44.7%
328364
 
14.8%
120756
 
10.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
120756
 
10.8%
285619
44.7%
328364
 
14.8%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
328364
 
14.8%
285619
44.7%
120756
 
10.8%

KBA05_KRSVAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.060749455
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:31.215766image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8151050517
Coefficient of variation (CV)0.395538162
Kurtosis33.88491206
Mean2.060749455
Median Absolute Deviation (MAD)0
Skewness4.154945865
Sum279586
Variance0.6643962453
MonotonicityNot monotonic
2021-05-29T15:55:31.321088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
289816
46.9%
323317
 
12.2%
121606
 
11.3%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
121606
 
11.3%
289816
46.9%
323317
 
12.2%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
323317
 
12.2%
289816
46.9%
121606
 
11.3%

KBA05_KRSZUL
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.09562769
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:31.419876image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8745459141
Coefficient of variation (CV)0.4173193159
Kurtosis24.4733606
Mean2.09562769
Median Absolute Deviation (MAD)0
Skewness3.268179023
Sum284318
Variance0.7648305559
MonotonicityNot monotonic
2021-05-29T15:55:31.526291image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
275450
39.4%
332866
17.1%
126423
 
13.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
126423
 
13.8%
275450
39.4%
332866
17.1%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
332866
17.1%
275450
39.4%
126423
 
13.8%

KBA05_KW1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.764638245
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:31.618267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.145709034
Coefficient of variation (CV)0.4144155339
Kurtosis4.646652796
Mean2.764638245
Median Absolute Deviation (MAD)1
Skewness1.076300717
Sum375084
Variance1.312649191
MonotonicityNot monotonic
2021-05-29T15:55:31.705859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
352512
27.4%
236262
18.9%
422702
11.8%
117624
 
9.2%
55639
 
2.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
117624
 
9.2%
236262
18.9%
352512
27.4%
422702
11.8%
55639
 
2.9%
ValueCountFrequency (%)
9933
 
0.5%
55639
 
2.9%
422702
11.8%
352512
27.4%
236262
18.9%

KBA05_KW2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.117489239
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:31.788849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.084034674
Coefficient of variation (CV)0.3477268375
Kurtosis4.769373248
Mean3.117489239
Median Absolute Deviation (MAD)1
Skewness1.021033737
Sum422956
Variance1.175131174
MonotonicityNot monotonic
2021-05-29T15:55:31.878301image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
360732
31.7%
429722
15.5%
226382
13.8%
510702
 
5.6%
17201
 
3.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
17201
 
3.8%
226382
13.8%
360732
31.7%
429722
15.5%
510702
 
5.6%
ValueCountFrequency (%)
9933
 
0.5%
510702
 
5.6%
429722
15.5%
360732
31.7%
226382
13.8%

KBA05_KW3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.820692553
Minimum0
Maximum9
Zeros20709
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:31.964933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.373208414
Coefficient of variation (CV)0.7542231182
Kurtosis3.530311822
Mean1.820692553
Median Absolute Deviation (MAD)1
Skewness1.155774056
Sum247017
Variance1.885701349
MonotonicityNot monotonic
2021-05-29T15:55:32.049605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
143421
22.7%
233749
17.6%
020709
 
10.8%
319739
 
10.3%
417121
 
8.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
020709
10.8%
143421
22.7%
233749
17.6%
319739
10.3%
417121
 
8.9%
ValueCountFrequency (%)
9933
 
0.5%
417121
 
8.9%
319739
10.3%
233749
17.6%
143421
22.7%

KBA05_MAXAH
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.801086444
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:32.131561image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.269736377
Coefficient of variation (CV)0.3340456462
Kurtosis0.4178195758
Mean3.801086444
Median Absolute Deviation (MAD)1
Skewness0.07048457009
Sum515701
Variance1.612230468
MonotonicityNot monotonic
2021-05-29T15:55:32.221411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
554394
28.4%
333702
17.6%
222176
 
11.6%
421803
 
11.4%
12664
 
1.4%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
12664
 
1.4%
222176
11.6%
333702
17.6%
421803
11.4%
554394
28.4%
ValueCountFrequency (%)
9933
 
0.5%
554394
28.4%
421803
11.4%
333702
17.6%
222176
11.6%

KBA05_MAXBJ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.600669261
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:32.306880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.305333067
Coefficient of variation (CV)0.5019219808
Kurtosis2.012251827
Mean2.600669261
Median Absolute Deviation (MAD)1
Skewness0.6930555085
Sum352838
Variance1.703894415
MonotonicityNot monotonic
2021-05-29T15:55:32.398007image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
443353
22.6%
136367
19.0%
230395
15.9%
324624
12.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
136367
19.0%
230395
15.9%
324624
12.8%
443353
22.6%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
443353
22.6%
324624
12.8%
230395
15.9%
136367
19.0%

KBA05_MAXHERST
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.538998467
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:32.484247image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.175723947
Coefficient of variation (CV)0.4630660325
Kurtosis4.991627253
Mean2.538998467
Median Absolute Deviation (MAD)1
Skewness1.473583122
Sum344471
Variance1.382326799
MonotonicityNot monotonic
2021-05-29T15:55:32.578001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
257631
30.1%
333420
17.4%
120339
 
10.6%
416532
 
8.6%
56817
 
3.6%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
120339
 
10.6%
257631
30.1%
333420
17.4%
416532
 
8.6%
56817
 
3.6%
ValueCountFrequency (%)
9933
 
0.5%
56817
 
3.6%
416532
 
8.6%
333420
17.4%
257631
30.1%

KBA05_MAXSEG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.278495194
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:32.664556image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.112225928
Coefficient of variation (CV)0.4881405633
Kurtosis7.362424319
Mean2.278495194
Median Absolute Deviation (MAD)1
Skewness1.654927924
Sum309128
Variance1.237046514
MonotonicityNot monotonic
2021-05-29T15:55:32.752047image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
252499
27.4%
133893
17.7%
331548
16.5%
416799
 
8.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
133893
17.7%
252499
27.4%
331548
16.5%
416799
 
8.8%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
416799
 
8.8%
331548
16.5%
252499
27.4%
133893
17.7%

KBA05_MAXVORB
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.893905891
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:32.834362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9161581635
Coefficient of variation (CV)0.4837400676
Kurtosis22.57627273
Mean1.893905891
Median Absolute Deviation (MAD)1
Skewness3.215888821
Sum256950
Variance0.8393457805
MonotonicityNot monotonic
2021-05-29T15:55:32.922440image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
265054
33.9%
145305
23.6%
324380
 
12.7%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
145305
23.6%
265054
33.9%
324380
 
12.7%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
324380
 
12.7%
265054
33.9%
145305
23.6%

KBA05_MOD1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.681245946
Minimum0
Maximum9
Zeros32586
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:33.008640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.387115574
Coefficient of variation (CV)0.8250521448
Kurtosis3.671424746
Mean1.681245946
Median Absolute Deviation (MAD)1
Skewness1.103421243
Sum228098
Variance1.924089615
MonotonicityNot monotonic
2021-05-29T15:55:33.093082image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
238783
20.2%
032586
17.0%
129887
15.6%
321684
 
11.3%
411799
 
6.2%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
032586
17.0%
129887
15.6%
238783
20.2%
321684
11.3%
411799
 
6.2%
ValueCountFrequency (%)
9933
 
0.5%
411799
 
6.2%
321684
11.3%
238783
20.2%
129887
15.6%

KBA05_MOD2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.044172711
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:33.184462image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.078154428
Coefficient of variation (CV)0.3541699276
Kurtosis5.167665521
Mean3.044172711
Median Absolute Deviation (MAD)1
Skewness1.050445188
Sum413009
Variance1.162416972
MonotonicityNot monotonic
2021-05-29T15:55:33.294335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
359631
31.1%
429940
15.6%
228743
15.0%
18413
 
4.4%
58012
 
4.2%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
18413
 
4.4%
228743
15.0%
359631
31.1%
429940
15.6%
58012
 
4.2%
ValueCountFrequency (%)
9933
 
0.5%
58012
 
4.2%
429940
15.6%
359631
31.1%
228743
15.0%

KBA05_MOD3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.076766024
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:33.396509image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.117152643
Coefficient of variation (CV)0.363093142
Kurtosis4.12444309
Mean3.076766024
Median Absolute Deviation (MAD)1
Skewness0.9233859669
Sum417431
Variance1.248030027
MonotonicityNot monotonic
2021-05-29T15:55:33.502534image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
353055
27.7%
432880
17.2%
230521
15.9%
59756
 
5.1%
18527
 
4.4%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
18527
 
4.4%
230521
15.9%
353055
27.7%
432880
17.2%
59756
 
5.1%
ValueCountFrequency (%)
9933
 
0.5%
59756
 
5.1%
432880
17.2%
353055
27.7%
230521
15.9%

KBA05_MOD4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.759272363
Minimum0
Maximum9
Zeros5107
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:33.606244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.360023721
Coefficient of variation (CV)0.4928921623
Kurtosis1.861920435
Mean2.759272363
Median Absolute Deviation (MAD)1
Skewness0.5176912715
Sum374356
Variance1.849664522
MonotonicityNot monotonic
2021-05-29T15:55:33.703399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
343414
22.7%
231214
16.3%
423991
12.5%
119435
 
10.1%
511578
 
6.0%
05107
 
2.7%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
05107
 
2.7%
119435
10.1%
231214
16.3%
343414
22.7%
423991
12.5%
ValueCountFrequency (%)
9933
 
0.5%
511578
 
6.0%
423991
12.5%
343414
22.7%
231214
16.3%

KBA05_MOD8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.446024235
Minimum0
Maximum9
Zeros26798
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:33.799003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.133160562
Coefficient of variation (CV)0.7836387072
Kurtosis11.58649262
Mean1.446024235
Median Absolute Deviation (MAD)1
Skewness1.976300412
Sum196185
Variance1.284052859
MonotonicityNot monotonic
2021-05-29T15:55:33.899003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
145515
23.7%
245005
23.5%
026798
14.0%
317421
 
9.1%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
026798
14.0%
145515
23.7%
245005
23.5%
317421
 
9.1%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
317421
 
9.1%
245005
23.5%
145515
23.7%
026798
14.0%

KBA05_MODTEMP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean2.912831187
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:33.994466image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.24516257
Coefficient of variation (CV)0.4274750199
Kurtosis-0.8770609878
Mean2.912831187
Median Absolute Deviation (MAD)1
Skewness-0.1790883695
Sum412821
Variance1.550429825
MonotonicityNot monotonic
2021-05-29T15:55:34.099295image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
345649
23.8%
439322
20.5%
129149
15.2%
216451
 
8.6%
510389
 
5.4%
6765
 
0.4%
(Missing)49927
26.1%
ValueCountFrequency (%)
129149
15.2%
216451
 
8.6%
345649
23.8%
439322
20.5%
510389
 
5.4%
ValueCountFrequency (%)
6765
 
0.4%
510389
 
5.4%
439322
20.5%
345649
23.8%
216451
 
8.6%

KBA05_MOTOR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.814353735
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:34.190857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.045461907
Coefficient of variation (CV)0.3714749478
Kurtosis6.838946521
Mean2.814353735
Median Absolute Deviation (MAD)1
Skewness1.085054329
Sum381829
Variance1.092990599
MonotonicityNot monotonic
2021-05-29T15:55:34.275779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
358357
30.4%
232087
16.7%
429964
15.6%
114331
 
7.5%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
114331
 
7.5%
232087
16.7%
358357
30.4%
429964
15.6%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
429964
15.6%
358357
30.4%
232087
16.7%
114331
 
7.5%

KBA05_MOTRAD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.247280205
Minimum0
Maximum9
Zeros26539
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:34.359075image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.098360746
Coefficient of variation (CV)0.8806046483
Kurtosis14.26590566
Mean1.247280205
Median Absolute Deviation (MAD)0
Skewness2.563152731
Sum169221
Variance1.206396329
MonotonicityNot monotonic
2021-05-29T15:55:34.439766image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
173299
38.2%
026539
 
13.8%
318115
 
9.5%
216842
 
8.8%
9877
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
026539
 
13.8%
173299
38.2%
216842
 
8.8%
318115
 
9.5%
9877
 
0.5%
ValueCountFrequency (%)
9877
 
0.5%
318115
 
9.5%
216842
 
8.8%
173299
38.2%
026539
 
13.8%

KBA05_SEG1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.158470429
Minimum0
Maximum9
Zeros36867
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:34.520063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.087014368
Coefficient of variation (CV)0.9383186153
Kurtosis16.5594327
Mean1.158470429
Median Absolute Deviation (MAD)1
Skewness2.660928562
Sum157172
Variance1.181600237
MonotonicityNot monotonic
2021-05-29T15:55:34.600785image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
155086
28.7%
036867
19.2%
234669
18.1%
38117
 
4.2%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
036867
19.2%
155086
28.7%
234669
18.1%
38117
 
4.2%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
38117
 
4.2%
234669
18.1%
155086
28.7%
036867
19.2%

KBA05_SEG10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.162701221
Minimum0
Maximum9
Zeros9635
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:34.681623image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.193768704
Coefficient of variation (CV)0.551980409
Kurtosis5.95690075
Mean2.162701221
Median Absolute Deviation (MAD)1
Skewness1.14716283
Sum293418
Variance1.425083719
MonotonicityNot monotonic
2021-05-29T15:55:34.764337image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
253413
27.9%
332759
17.1%
125270
13.2%
413662
 
7.1%
09635
 
5.0%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
09635
 
5.0%
125270
13.2%
253413
27.9%
332759
17.1%
413662
 
7.1%
ValueCountFrequency (%)
9933
 
0.5%
413662
 
7.1%
332759
17.1%
253413
27.9%
125270
13.2%

KBA05_SEG2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.921184917
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:36.637413image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.090809521
Coefficient of variation (CV)0.3734133759
Kurtosis5.347360956
Mean2.921184917
Median Absolute Deviation (MAD)1
Skewness1.076245236
Sum396323
Variance1.189865412
MonotonicityNot monotonic
2021-05-29T15:55:36.732711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
358986
30.8%
231540
16.5%
426569
13.9%
111652
 
6.1%
55992
 
3.1%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
111652
 
6.1%
231540
16.5%
358986
30.8%
426569
13.9%
55992
 
3.1%
ValueCountFrequency (%)
9933
 
0.5%
55992
 
3.1%
426569
13.9%
358986
30.8%
231540
16.5%

KBA05_SEG3
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.890264756
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:36.815448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.092004989
Coefficient of variation (CV)0.377821785
Kurtosis5.38632872
Mean2.890264756
Median Absolute Deviation (MAD)1
Skewness1.196567801
Sum392128
Variance1.192474897
MonotonicityNot monotonic
2021-05-29T15:55:36.903650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354355
28.4%
238346
20.0%
425556
13.3%
110165
 
5.3%
56317
 
3.3%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
110165
 
5.3%
238346
20.0%
354355
28.4%
425556
13.3%
56317
 
3.3%
ValueCountFrequency (%)
9933
 
0.5%
56317
 
3.3%
425556
13.3%
354355
28.4%
238346
20.0%

KBA05_SEG4
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.049848163
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:36.988324image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068621911
Coefficient of variation (CV)0.3503852828
Kurtosis5.439691246
Mean3.049848163
Median Absolute Deviation (MAD)1
Skewness1.123933236
Sum413779
Variance1.141952789
MonotonicityNot monotonic
2021-05-29T15:55:37.079613image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
363481
33.1%
227738
14.5%
426713
13.9%
58951
 
4.7%
17856
 
4.1%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
17856
 
4.1%
227738
14.5%
363481
33.1%
426713
13.9%
58951
 
4.7%
ValueCountFrequency (%)
9933
 
0.5%
58951
 
4.7%
426713
13.9%
363481
33.1%
227738
14.5%

KBA05_SEG5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.784229613
Minimum0
Maximum9
Zeros18467
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:37.168933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.29501673
Coefficient of variation (CV)0.7258128221
Kurtosis5.052159987
Mean1.784229613
Median Absolute Deviation (MAD)1
Skewness1.340142636
Sum242070
Variance1.677068332
MonotonicityNot monotonic
2021-05-29T15:55:37.257157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
144430
23.2%
238419
20.0%
321287
 
11.1%
018467
 
9.6%
412136
 
6.3%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
018467
9.6%
144430
23.2%
238419
20.0%
321287
11.1%
412136
 
6.3%
ValueCountFrequency (%)
9933
 
0.5%
412136
 
6.3%
321287
11.1%
238419
20.0%
144430
23.2%

KBA05_SEG6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean0.236791674
Minimum0
Maximum9
Zeros111010
Zeros (%)57.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:37.348330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8221080739
Coefficient of variation (CV)3.471862249
Kurtosis85.92275574
Mean0.236791674
Median Absolute Deviation (MAD)0
Skewness8.449595341
Sum32126
Variance0.6758616851
MonotonicityNot monotonic
2021-05-29T15:55:37.435885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0111010
57.9%
123729
 
12.4%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
0111010
57.9%
123729
 
12.4%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
123729
 
12.4%
0111010
57.9%

KBA05_SEG7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.001776343
Minimum0
Maximum9
Zeros53730
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:37.521912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.142617306
Coefficient of variation (CV)1.140591225
Kurtosis14.46354036
Mean1.001776343
Median Absolute Deviation (MAD)1
Skewness2.574614929
Sum135913
Variance1.305574308
MonotonicityNot monotonic
2021-05-29T15:55:37.607339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
053730
28.0%
143092
22.5%
229327
15.3%
38590
 
4.5%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
053730
28.0%
143092
22.5%
229327
15.3%
38590
 
4.5%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
38590
 
4.5%
229327
15.3%
143092
22.5%
053730
28.0%

KBA05_SEG8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.000169527
Minimum0
Maximum9
Zeros54785
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:37.689304image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.154433461
Coefficient of variation (CV)1.154237787
Kurtosis13.83319917
Mean1.000169527
Median Absolute Deviation (MAD)1
Skewness2.525128375
Sum135695
Variance1.332716617
MonotonicityNot monotonic
2021-05-29T15:55:37.771530image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
054785
28.6%
142095
22.0%
228374
14.8%
39485
 
4.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
054785
28.6%
142095
22.0%
228374
14.8%
39485
 
4.9%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
39485
 
4.9%
228374
14.8%
142095
22.0%
054785
28.6%

KBA05_SEG9
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.237049649
Minimum0
Maximum9
Zeros34324
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:37.861373image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.106325155
Coefficient of variation (CV)0.8943255885
Kurtosis14.62241571
Mean1.237049649
Median Absolute Deviation (MAD)1
Skewness2.418843164
Sum167833
Variance1.22395535
MonotonicityNot monotonic
2021-05-29T15:55:37.956478image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
151705
27.0%
238399
20.0%
034324
17.9%
310311
 
5.4%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
034324
17.9%
151705
27.0%
238399
20.0%
310311
 
5.4%
9933
 
0.5%
ValueCountFrequency (%)
9933
 
0.5%
310311
 
5.4%
238399
20.0%
151705
27.0%
034324
17.9%

KBA05_VORB0
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.305074002
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:38.048749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.15624528
Coefficient of variation (CV)0.3498394528
Kurtosis2.801743753
Mean3.305074002
Median Absolute Deviation (MAD)1
Skewness0.5879478751
Sum448406
Variance1.336903148
MonotonicityNot monotonic
2021-05-29T15:55:38.152787image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
346855
24.4%
440443
21.1%
223263
12.1%
516742
 
8.7%
17436
 
3.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
17436
 
3.9%
223263
12.1%
346855
24.4%
440443
21.1%
516742
 
8.7%
ValueCountFrequency (%)
9933
 
0.5%
516742
 
8.7%
440443
21.1%
346855
24.4%
223263
12.1%

KBA05_VORB1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.025930185
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:38.252080image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.101034329
Coefficient of variation (CV)0.3638664019
Kurtosis4.755839511
Mean3.025930185
Median Absolute Deviation (MAD)1
Skewness1.023447839
Sum410534
Variance1.212276593
MonotonicityNot monotonic
2021-05-29T15:55:38.354074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
360285
31.5%
228627
14.9%
426987
14.1%
19530
 
5.0%
59310
 
4.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
19530
 
5.0%
228627
14.9%
360285
31.5%
426987
14.1%
59310
 
4.9%
ValueCountFrequency (%)
9933
 
0.5%
59310
 
4.9%
426987
14.1%
360285
31.5%
228627
14.9%

KBA05_VORB2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.306968276
Minimum0
Maximum9
Zeros11641
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:38.441636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.345094423
Coefficient of variation (CV)0.5830571824
Kurtosis2.980059335
Mean2.306968276
Median Absolute Deviation (MAD)1
Skewness0.7745051864
Sum312991
Variance1.809279007
MonotonicityNot monotonic
2021-05-29T15:55:38.528817image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
341123
21.5%
237903
19.8%
125242
13.2%
413973
 
7.3%
011641
 
6.1%
54857
 
2.5%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
011641
 
6.1%
125242
13.2%
237903
19.8%
341123
21.5%
413973
 
7.3%
ValueCountFrequency (%)
9933
 
0.5%
54857
 
2.5%
413973
 
7.3%
341123
21.5%
237903
19.8%

KBA05_ZUL1
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.785217289
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:38.611543image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.076782703
Coefficient of variation (CV)0.3866063545
Kurtosis6.259647492
Mean2.785217289
Median Absolute Deviation (MAD)1
Skewness1.216591826
Sum377876
Variance1.159460989
MonotonicityNot monotonic
2021-05-29T15:55:38.704273image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
358874
30.7%
235712
18.6%
422116
 
11.5%
114304
 
7.5%
53733
 
1.9%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
114304
 
7.5%
235712
18.6%
358874
30.7%
422116
 
11.5%
53733
 
1.9%
ValueCountFrequency (%)
9933
 
0.5%
53733
 
1.9%
422116
 
11.5%
358874
30.7%
235712
18.6%

KBA05_ZUL2
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.088161153
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:38.791227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.086680768
Coefficient of variation (CV)0.3518860298
Kurtosis4.76578942
Mean3.088161153
Median Absolute Deviation (MAD)1
Skewness1.030775698
Sum418977
Variance1.180875091
MonotonicityNot monotonic
2021-05-29T15:55:38.884297image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
357828
30.2%
430838
16.1%
229151
15.2%
59630
 
5.0%
17292
 
3.8%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
17292
 
3.8%
229151
15.2%
357828
30.2%
430838
16.1%
59630
 
5.0%
ValueCountFrequency (%)
9933
 
0.5%
59630
 
5.0%
430838
16.1%
357828
30.2%
229151
15.2%

KBA05_ZUL3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.969124064
Minimum0
Maximum9
Zeros5137
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:38.973821image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.306666695
Coefficient of variation (CV)0.4400849097
Kurtosis2.204287452
Mean2.969124064
Median Absolute Deviation (MAD)1
Skewness0.2948038427
Sum402827
Variance1.707377853
MonotonicityNot monotonic
2021-05-29T15:55:39.055033image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
345482
23.7%
433681
17.6%
227829
14.5%
111362
 
5.9%
511248
 
5.9%
05137
 
2.7%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
05137
 
2.7%
111362
 
5.9%
227829
14.5%
345482
23.7%
433681
17.6%
ValueCountFrequency (%)
9933
 
0.5%
511248
 
5.9%
433681
17.6%
345482
23.7%
227829
14.5%

KBA05_ZUL4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean2.45306327
Minimum0
Maximum9
Zeros8776
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:39.136024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.470194643
Coefficient of variation (CV)0.5993300952
Kurtosis1.32264108
Mean2.45306327
Median Absolute Deviation (MAD)1
Skewness0.6872581693
Sum332812
Variance2.161472289
MonotonicityNot monotonic
2021-05-29T15:55:39.224457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
236207
18.9%
130214
15.8%
326900
14.0%
422123
 
11.5%
510519
 
5.5%
08776
 
4.6%
9933
 
0.5%
(Missing)55980
29.2%
ValueCountFrequency (%)
08776
 
4.6%
130214
15.8%
236207
18.9%
326900
14.0%
422123
11.5%
ValueCountFrequency (%)
9933
 
0.5%
510519
 
5.5%
422123
11.5%
326900
14.0%
236207
18.9%

KBA13_ALTERHALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.625620677
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:39.309453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9672547771
Coefficient of variation (CV)0.3683909049
Kurtosis-0.1729162769
Mean2.625620677
Median Absolute Deviation (MAD)1
Skewness0.08545307631
Sum368561
Variance0.9355818038
MonotonicityNot monotonic
2021-05-29T15:55:39.408088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
362692
32.7%
237652
19.6%
119842
 
10.4%
415586
 
8.1%
54599
 
2.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
119842
 
10.4%
237652
19.6%
362692
32.7%
415586
 
8.1%
54599
 
2.4%
ValueCountFrequency (%)
54599
 
2.4%
415586
 
8.1%
362692
32.7%
237652
19.6%
119842
 
10.4%

KBA13_ALTERHALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.004203147
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:39.515553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.048776652
Coefficient of variation (CV)0.3491031066
Kurtosis-0.3977563254
Mean3.004203147
Median Absolute Deviation (MAD)1
Skewness-0.0246833239
Sum421703
Variance1.099932465
MonotonicityNot monotonic
2021-05-29T15:55:39.640317image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
357839
30.2%
430023
15.7%
228553
14.9%
112198
 
6.4%
511758
 
6.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
112198
 
6.4%
228553
14.9%
357839
30.2%
430023
15.7%
511758
 
6.1%
ValueCountFrequency (%)
511758
 
6.1%
430023
15.7%
357839
30.2%
228553
14.9%
112198
 
6.4%

KBA13_ALTERHALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.926081598
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:39.747756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.02150079
Coefficient of variation (CV)0.3491019495
Kurtosis-0.3134614298
Mean2.926081598
Median Absolute Deviation (MAD)1
Skewness0.0748532631
Sum410737
Variance1.043463865
MonotonicityNot monotonic
2021-05-29T15:55:39.859453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
359346
31.0%
232838
17.1%
426116
13.6%
111949
 
6.2%
510122
 
5.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
111949
 
6.2%
232838
17.1%
359346
31.0%
426116
13.6%
510122
 
5.3%
ValueCountFrequency (%)
510122
 
5.3%
426116
13.6%
359346
31.0%
232838
17.1%
111949
 
6.2%

KBA13_ALTERHALTER_61
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.271623056
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:39.966756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.029103999
Coefficient of variation (CV)0.3145545748
Kurtosis-0.4112272787
Mean3.271623056
Median Absolute Deviation (MAD)1
Skewness-0.05458832122
Sum459241
Variance1.059055041
MonotonicityNot monotonic
2021-05-29T15:55:40.079765image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
357867
30.2%
434652
18.1%
222348
 
11.7%
519208
 
10.0%
16296
 
3.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
16296
 
3.3%
222348
 
11.7%
357867
30.2%
434652
18.1%
519208
 
10.0%
ValueCountFrequency (%)
519208
 
10.0%
434652
18.1%
357867
30.2%
222348
 
11.7%
16296
 
3.3%

KBA13_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.405881557
Minimum0
Maximum4
Zeros532
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:40.186483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.858057968
Coefficient of variation (CV)0.3566501292
Kurtosis-0.4939552431
Mean2.405881557
Median Absolute Deviation (MAD)1
Skewness0.02696690775
Sum337716
Variance0.7362634764
MonotonicityNot monotonic
2021-05-29T15:55:40.299141image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
257412
30.0%
349273
25.7%
119181
 
10.0%
413973
 
7.3%
0532
 
0.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
0532
 
0.3%
119181
 
10.0%
257412
30.0%
349273
25.7%
413973
 
7.3%
ValueCountFrequency (%)
413973
 
7.3%
349273
25.7%
257412
30.0%
119181
 
10.0%
0532
 
0.3%

KBA13_ANTG2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.753075778
Minimum0
Maximum4
Zeros941
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:40.405993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8520218026
Coefficient of variation (CV)0.3094799677
Kurtosis-0.08057928726
Mean2.753075778
Median Absolute Deviation (MAD)1
Skewness-0.3963905462
Sum386452
Variance0.7259411522
MonotonicityNot monotonic
2021-05-29T15:55:40.512200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364824
33.8%
239530
20.6%
425948
13.5%
19128
 
4.8%
0941
 
0.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
0941
 
0.5%
19128
 
4.8%
239530
20.6%
364824
33.8%
425948
13.5%
ValueCountFrequency (%)
425948
13.5%
364824
33.8%
239530
20.6%
19128
 
4.8%
0941
 
0.5%

KBA13_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.406843294
Minimum0
Maximum3
Zeros25498
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:40.606595image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.922688561
Coefficient of variation (CV)0.655857383
Kurtosis-0.8500087971
Mean1.406843294
Median Absolute Deviation (MAD)1
Skewness0.05168793916
Sum197480
Variance0.8513541806
MonotonicityNot monotonic
2021-05-29T15:55:40.692420image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
149583
25.9%
247973
25.0%
025498
13.3%
317317
 
9.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
025498
13.3%
149583
25.9%
247973
25.0%
317317
 
9.0%
ValueCountFrequency (%)
317317
 
9.0%
247973
25.0%
149583
25.9%
025498
13.3%

KBA13_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean0.5199507021
Minimum0
Maximum2
Zeros78976
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:40.776658image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6440131956
Coefficient of variation (CV)1.238604339
Kurtosis-0.3479490891
Mean0.5199507021
Median Absolute Deviation (MAD)0
Skewness0.8531545747
Sum72986
Variance0.4147529961
MonotonicityNot monotonic
2021-05-29T15:55:40.882054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
078976
41.2%
149804
26.0%
211591
 
6.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
078976
41.2%
149804
26.0%
211591
 
6.0%
ValueCountFrequency (%)
211591
 
6.0%
149804
26.0%
078976
41.2%

KBA13_ANZAHL_PKW
Real number (ℝ≥0)

MISSING

Distinct1250
Distinct (%)0.9%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean667.2312158
Minimum5
Maximum2300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:40.993993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile247
Q1430
median593
Q3828
95-th percentile1400
Maximum2300
Range2295
Interquartile range (IQR)398

Descriptive statistics

Standard deviation340.4817224
Coefficient of variation (CV)0.5102904575
Kurtosis1.749850177
Mean667.2312158
Median Absolute Deviation (MAD)189
Skewness1.204304691
Sum93659913
Variance115927.8033
MonotonicityNot monotonic
2021-05-29T15:55:41.117264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14002489
 
1.3%
15001718
 
0.9%
13001413
 
0.7%
16001264
 
0.7%
1700796
 
0.4%
1800599
 
0.3%
1900332
 
0.2%
523302
 
0.2%
464294
 
0.2%
552283
 
0.1%
Other values (1240)130881
68.3%
(Missing)51281
 
26.8%
ValueCountFrequency (%)
52
< 0.1%
62
< 0.1%
81
< 0.1%
102
< 0.1%
111
< 0.1%
ValueCountFrequency (%)
230083
 
< 0.1%
220057
 
< 0.1%
2100120
 
0.1%
2000254
0.1%
1900332
0.2%

KBA13_AUDI
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.21893411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:41.210823image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9703509379
Coefficient of variation (CV)0.3014510098
Kurtosis-0.2117959836
Mean3.21893411
Median Absolute Deviation (MAD)1
Skewness-0.01706388144
Sum451845
Variance0.9415809427
MonotonicityNot monotonic
2021-05-29T15:55:41.309061image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
362598
32.7%
434838
18.2%
222560
 
11.8%
514801
 
7.7%
15574
 
2.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
15574
 
2.9%
222560
 
11.8%
362598
32.7%
434838
18.2%
514801
 
7.7%
ValueCountFrequency (%)
514801
 
7.7%
434838
18.2%
362598
32.7%
222560
 
11.8%
15574
 
2.9%

KBA13_AUTOQUOTE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.990147538
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:41.413735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9611435495
Coefficient of variation (CV)0.3214368313
Kurtosis-0.07135772976
Mean2.990147538
Median Absolute Deviation (MAD)1
Skewness0.007477479812
Sum419730
Variance0.9237969227
MonotonicityNot monotonic
2021-05-29T15:55:41.520200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
365977
34.4%
228420
14.8%
427543
14.4%
19342
 
4.9%
59089
 
4.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
19342
 
4.9%
228420
14.8%
365977
34.4%
427543
14.4%
59089
 
4.7%
ValueCountFrequency (%)
59089
 
4.7%
427543
14.4%
365977
34.4%
228420
14.8%
19342
 
4.9%

KBA13_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.630358122
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:41.619041image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.249188358
Coefficient of variation (CV)0.766204885
Kurtosis2.119414622
Mean1.630358122
Median Absolute Deviation (MAD)0
Skewness1.890580313
Sum228855
Variance1.560471553
MonotonicityNot monotonic
2021-05-29T15:55:41.717111image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1103960
54.2%
213328
 
7.0%
512105
 
6.3%
36198
 
3.2%
44780
 
2.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
1103960
54.2%
213328
 
7.0%
36198
 
3.2%
44780
 
2.5%
512105
 
6.3%
ValueCountFrequency (%)
512105
 
6.3%
44780
 
2.5%
36198
 
3.2%
213328
 
7.0%
1103960
54.2%

KBA13_BJ_1999
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.78960754
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:41.811441image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9371101269
Coefficient of variation (CV)0.3359290199
Kurtosis-0.071183037
Mean2.78960754
Median Absolute Deviation (MAD)1
Skewness0.06150853483
Sum391580
Variance0.8781753899
MonotonicityNot monotonic
2021-05-29T15:55:41.908445image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364537
33.7%
236663
19.1%
421288
 
11.1%
112481
 
6.5%
55402
 
2.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
112481
 
6.5%
236663
19.1%
364537
33.7%
421288
 
11.1%
55402
 
2.8%
ValueCountFrequency (%)
55402
 
2.8%
421288
 
11.1%
364537
33.7%
236663
19.1%
112481
 
6.5%

KBA13_BJ_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.715938477
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:42.003038image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9507998262
Coefficient of variation (CV)0.3500815037
Kurtosis-0.164032874
Mean2.715938477
Median Absolute Deviation (MAD)1
Skewness0.04858109479
Sum381239
Variance0.9040203095
MonotonicityNot monotonic
2021-05-29T15:55:42.111071image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
362846
32.8%
237646
19.6%
419646
 
10.3%
115585
 
8.1%
54648
 
2.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
115585
 
8.1%
237646
19.6%
362846
32.8%
419646
 
10.3%
54648
 
2.4%
ValueCountFrequency (%)
54648
 
2.4%
419646
 
10.3%
362846
32.8%
237646
19.6%
115585
 
8.1%

KBA13_BJ_2004
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.024534982
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:42.219682image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9194048485
Coefficient of variation (CV)0.3039822167
Kurtosis0.003106790911
Mean3.024534982
Median Absolute Deviation (MAD)1
Skewness0.0166127067
Sum424557
Variance0.8453052755
MonotonicityNot monotonic
2021-05-29T15:55:42.331686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
367399
35.2%
429396
15.3%
228320
14.8%
58220
 
4.3%
17036
 
3.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
17036
 
3.7%
228320
14.8%
367399
35.2%
429396
15.3%
58220
 
4.3%
ValueCountFrequency (%)
58220
 
4.3%
429396
15.3%
367399
35.2%
228320
14.8%
17036
 
3.7%

KBA13_BJ_2006
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.120259883
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:42.436153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9115819441
Coefficient of variation (CV)0.2921493652
Kurtosis-0.01423886238
Mean3.120259883
Median Absolute Deviation (MAD)1
Skewness0.002988399655
Sum437994
Variance0.8309816408
MonotonicityNot monotonic
2021-05-29T15:55:42.545429image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366954
34.9%
433312
17.4%
225019
 
13.1%
59690
 
5.1%
15396
 
2.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
15396
 
2.8%
225019
 
13.1%
366954
34.9%
433312
17.4%
59690
 
5.1%
ValueCountFrequency (%)
59690
 
5.1%
433312
17.4%
366954
34.9%
225019
 
13.1%
15396
 
2.8%

KBA13_BJ_2008
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.698805309
Minimum0
Maximum5
Zeros19625
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:42.645098image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.474305083
Coefficient of variation (CV)0.5462806368
Kurtosis-0.5096319439
Mean2.698805309
Median Absolute Deviation (MAD)1
Skewness-0.3776022473
Sum378834
Variance2.173575477
MonotonicityNot monotonic
2021-05-29T15:55:42.751958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
352663
27.5%
224206
12.6%
019625
 
10.2%
419500
 
10.2%
517514
 
9.1%
16863
 
3.6%
(Missing)51281
26.8%
ValueCountFrequency (%)
019625
 
10.2%
16863
 
3.6%
224206
12.6%
352663
27.5%
419500
 
10.2%
ValueCountFrequency (%)
517514
 
9.1%
419500
 
10.2%
352663
27.5%
224206
12.6%
16863
 
3.6%

KBA13_BJ_2009
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.694046491
Minimum0
Maximum5
Zeros16351
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:42.849928image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.469412712
Coefficient of variation (CV)0.5454296043
Kurtosis-0.6337266346
Mean2.694046491
Median Absolute Deviation (MAD)1
Skewness-0.3194372109
Sum378166
Variance2.159173717
MonotonicityNot monotonic
2021-05-29T15:55:42.961050image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
355093
28.7%
419010
 
9.9%
517598
 
9.2%
216538
 
8.6%
016351
 
8.5%
115781
 
8.2%
(Missing)51281
26.8%
ValueCountFrequency (%)
016351
 
8.5%
115781
 
8.2%
216538
 
8.6%
355093
28.7%
419010
 
9.9%
ValueCountFrequency (%)
517598
 
9.2%
419010
 
9.9%
355093
28.7%
216538
 
8.6%
115781
 
8.2%

KBA13_BMW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.465651737
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:43.053645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9486462755
Coefficient of variation (CV)0.2737281029
Kurtosis-0.3513243248
Mean3.465651737
Median Absolute Deviation (MAD)1
Skewness-0.0463869427
Sum486477
Variance0.899929756
MonotonicityNot monotonic
2021-05-29T15:55:43.150225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
359844
31.2%
440287
21.0%
522682
 
11.8%
214829
 
7.7%
12729
 
1.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
12729
 
1.4%
214829
 
7.7%
359844
31.2%
440287
21.0%
522682
 
11.8%
ValueCountFrequency (%)
522682
 
11.8%
440287
21.0%
359844
31.2%
214829
 
7.7%
12729
 
1.4%

KBA13_CCM_0_1400
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.12568123
Minimum0
Maximum5
Zeros28511
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:43.235179image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.392846325
Coefficient of variation (CV)0.6552470358
Kurtosis-0.7052963514
Mean2.12568123
Median Absolute Deviation (MAD)1
Skewness-0.08564161896
Sum298384
Variance1.940020886
MonotonicityNot monotonic
2021-05-29T15:55:43.329011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
344967
23.5%
237090
19.4%
028511
14.9%
112155
 
6.3%
411092
 
5.8%
56556
 
3.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
028511
14.9%
112155
 
6.3%
237090
19.4%
344967
23.5%
411092
 
5.8%
ValueCountFrequency (%)
56556
 
3.4%
411092
 
5.8%
344967
23.5%
237090
19.4%
112155
 
6.3%

KBA13_CCM_1000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.248626853
Minimum0
Maximum5
Zeros19982
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:43.422689image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.389220869
Coefficient of variation (CV)0.6178085379
Kurtosis-0.76400977
Mean2.248626853
Median Absolute Deviation (MAD)1
Skewness-0.05594406889
Sum315642
Variance1.929934622
MonotonicityNot monotonic
2021-05-29T15:55:43.511251image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
351534
26.9%
125761
13.4%
222578
11.8%
019982
 
10.4%
412457
 
6.5%
58059
 
4.2%
(Missing)51281
26.8%
ValueCountFrequency (%)
019982
 
10.4%
125761
13.4%
222578
11.8%
351534
26.9%
412457
 
6.5%
ValueCountFrequency (%)
58059
 
4.2%
412457
 
6.5%
351534
26.9%
222578
11.8%
125761
13.4%

KBA13_CCM_1200
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.147701448
Minimum0
Maximum5
Zeros29378
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:43.589513image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.429985286
Coefficient of variation (CV)0.6658212606
Kurtosis-0.8115685174
Mean2.147701448
Median Absolute Deviation (MAD)1
Skewness-0.09900420865
Sum301475
Variance2.044857917
MonotonicityNot monotonic
2021-05-29T15:55:43.677444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
347369
24.7%
231275
16.3%
029378
15.3%
113226
 
6.9%
412023
 
6.3%
57100
 
3.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
029378
15.3%
113226
 
6.9%
231275
16.3%
347369
24.7%
412023
 
6.3%
ValueCountFrequency (%)
57100
 
3.7%
412023
 
6.3%
347369
24.7%
231275
16.3%
113226
 
6.9%

KBA13_CCM_1400
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.871405062
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:43.758592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9330198213
Coefficient of variation (CV)0.3249349364
Kurtosis-0.07606242219
Mean2.871405062
Median Absolute Deviation (MAD)1
Skewness0.06731690585
Sum403062
Variance0.8705259869
MonotonicityNot monotonic
2021-05-29T15:55:43.849747image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364535
33.7%
235211
18.4%
424398
 
12.7%
19923
 
5.2%
56304
 
3.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
19923
 
5.2%
235211
18.4%
364535
33.7%
424398
 
12.7%
56304
 
3.3%
ValueCountFrequency (%)
56304
 
3.3%
424398
 
12.7%
364535
33.7%
235211
18.4%
19923
 
5.2%

KBA13_CCM_1401_2500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.938641172
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:43.938953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9192150478
Coefficient of variation (CV)0.3128027527
Kurtosis-0.05514883027
Mean2.938641172
Median Absolute Deviation (MAD)1
Skewness-0.1158091681
Sum412500
Variance0.8449563042
MonotonicityNot monotonic
2021-05-29T15:55:44.032982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366677
34.8%
429280
15.3%
229267
15.3%
19730
 
5.1%
55417
 
2.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
19730
 
5.1%
229267
15.3%
366677
34.8%
429280
15.3%
55417
 
2.8%
ValueCountFrequency (%)
55417
 
2.8%
429280
15.3%
366677
34.8%
229267
15.3%
19730
 
5.1%

KBA13_CCM_1500
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.578645162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:44.140335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.397120322
Coefficient of variation (CV)0.5418040226
Kurtosis-1.431589977
Mean2.578645162
Median Absolute Deviation (MAD)1
Skewness0.1426798825
Sum361967
Variance1.951945193
MonotonicityNot monotonic
2021-05-29T15:55:44.250281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
151263
26.7%
436375
19.0%
327491
14.3%
214493
 
7.6%
510749
 
5.6%
(Missing)51281
26.8%
ValueCountFrequency (%)
151263
26.7%
214493
 
7.6%
327491
14.3%
436375
19.0%
510749
 
5.6%
ValueCountFrequency (%)
510749
 
5.6%
436375
19.0%
327491
14.3%
214493
 
7.6%
151263
26.7%

KBA13_CCM_1600
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.942758832
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:44.367105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9150225551
Coefficient of variation (CV)0.3109403819
Kurtosis-0.01856348084
Mean2.942758832
Median Absolute Deviation (MAD)1
Skewness0.09456611137
Sum413078
Variance0.8372662764
MonotonicityNot monotonic
2021-05-29T15:55:44.476434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366226
34.6%
233449
17.5%
426082
 
13.6%
17474
 
3.9%
57140
 
3.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
17474
 
3.9%
233449
17.5%
366226
34.6%
426082
 
13.6%
57140
 
3.7%
ValueCountFrequency (%)
57140
 
3.7%
426082
 
13.6%
366226
34.6%
233449
17.5%
17474
 
3.9%

KBA13_CCM_1800
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.364590977
Minimum0
Maximum5
Zeros24878
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:44.573451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.428590317
Coefficient of variation (CV)0.6041595907
Kurtosis-0.6169242322
Mean2.364590977
Median Absolute Deviation (MAD)1
Skewness-0.2320613574
Sum331920
Variance2.040870293
MonotonicityNot monotonic
2021-05-29T15:55:44.660153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
350532
26.4%
232244
16.8%
024878
13.0%
414621
 
7.6%
59814
 
5.1%
18282
 
4.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
024878
13.0%
18282
 
4.3%
232244
16.8%
350532
26.4%
414621
 
7.6%
ValueCountFrequency (%)
59814
 
5.1%
414621
 
7.6%
350532
26.4%
232244
16.8%
18282
 
4.3%

KBA13_CCM_2000
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.22919264
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:44.741896image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9174303919
Coefficient of variation (CV)0.2841051911
Kurtosis-0.1395678488
Mean3.22919264
Median Absolute Deviation (MAD)1
Skewness0.03820628569
Sum453285
Variance0.8416785239
MonotonicityNot monotonic
2021-05-29T15:55:44.835716image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364936
33.9%
436307
18.9%
222433
 
11.7%
512922
 
6.7%
13773
 
2.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
13773
 
2.0%
222433
 
11.7%
364936
33.9%
436307
18.9%
512922
 
6.7%
ValueCountFrequency (%)
512922
 
6.7%
436307
18.9%
364936
33.9%
222433
 
11.7%
13773
 
2.0%

KBA13_CCM_2500
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.693177366
Minimum0
Maximum5
Zeros15780
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:44.921795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.44436976
Coefficient of variation (CV)0.5363069578
Kurtosis-0.5604463394
Mean2.693177366
Median Absolute Deviation (MAD)1
Skewness-0.3046412394
Sum378044
Variance2.086204003
MonotonicityNot monotonic
2021-05-29T15:55:45.012706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
353790
28.1%
220948
 
10.9%
418775
 
9.8%
517150
 
8.9%
015780
 
8.2%
113928
 
7.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
015780
 
8.2%
113928
 
7.3%
220948
 
10.9%
353790
28.1%
418775
 
9.8%
ValueCountFrequency (%)
517150
 
8.9%
418775
 
9.8%
353790
28.1%
220948
 
10.9%
113928
 
7.3%

KBA13_CCM_2501
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.778608117
Minimum0
Maximum5
Zeros14392
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:45.093020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.454250695
Coefficient of variation (CV)0.5233738022
Kurtosis-0.5527724243
Mean2.778608117
Median Absolute Deviation (MAD)1
Skewness-0.328632819
Sum390036
Variance2.114845084
MonotonicityNot monotonic
2021-05-29T15:55:45.185881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354189
28.3%
520064
 
10.5%
418887
 
9.9%
218762
 
9.8%
014392
 
7.5%
114077
 
7.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
014392
 
7.5%
114077
 
7.3%
218762
 
9.8%
354189
28.3%
418887
 
9.9%
ValueCountFrequency (%)
520064
 
10.5%
418887
 
9.9%
354189
28.3%
218762
 
9.8%
114077
 
7.3%

KBA13_CCM_3000
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.820589723
Minimum0
Maximum5
Zeros9117
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:45.273762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.370008524
Coefficient of variation (CV)0.4857170517
Kurtosis-0.479093909
Mean2.820589723
Median Absolute Deviation (MAD)1
Skewness-0.2613188946
Sum395929
Variance1.876923357
MonotonicityNot monotonic
2021-05-29T15:55:45.375548image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
355545
29.0%
219577
 
10.2%
419392
 
10.1%
518958
 
9.9%
117782
 
9.3%
09117
 
4.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
09117
 
4.8%
117782
 
9.3%
219577
 
10.2%
355545
29.0%
419392
 
10.1%
ValueCountFrequency (%)
518958
 
9.9%
419392
 
10.1%
355545
29.0%
219577
 
10.2%
117782
 
9.3%

KBA13_CCM_3001
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.871946485
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:45.461300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.501274038
Coefficient of variation (CV)0.5227374696
Kurtosis-1.484350762
Mean2.871946485
Median Absolute Deviation (MAD)1
Skewness-0.1569084062
Sum403138
Variance2.253823738
MonotonicityNot monotonic
2021-05-29T15:55:45.555274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
149506
25.8%
441514
21.7%
329546
15.4%
519776
 
10.3%
229
 
< 0.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
149506
25.8%
229
 
< 0.1%
329546
15.4%
441514
21.7%
519776
 
10.3%
ValueCountFrequency (%)
519776
 
10.3%
441514
21.7%
329546
15.4%
229
 
< 0.1%
149506
25.8%

KBA13_FAB_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.743344423
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:45.654693image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9473060889
Coefficient of variation (CV)0.3453106657
Kurtosis-0.0927661847
Mean2.743344423
Median Absolute Deviation (MAD)1
Skewness0.07979883952
Sum385086
Variance0.8973888262
MonotonicityNot monotonic
2021-05-29T15:55:45.764954image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363667
33.2%
237645
19.6%
419556
 
10.2%
114236
 
7.4%
55267
 
2.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
114236
 
7.4%
237645
19.6%
363667
33.2%
419556
 
10.2%
55267
 
2.7%
ValueCountFrequency (%)
55267
 
2.7%
419556
 
10.2%
363667
33.2%
237645
19.6%
114236
 
7.4%

KBA13_FAB_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.803314075
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:45.882218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9411882279
Coefficient of variation (CV)0.3357412701
Kurtosis-0.02801934986
Mean2.803314075
Median Absolute Deviation (MAD)1
Skewness0.06367267959
Sum393504
Variance0.8858352803
MonotonicityNot monotonic
2021-05-29T15:55:45.991623image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
365793
34.3%
235331
18.4%
420848
 
10.9%
112481
 
6.5%
55918
 
3.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
112481
 
6.5%
235331
18.4%
365793
34.3%
420848
 
10.9%
55918
 
3.1%
ValueCountFrequency (%)
55918
 
3.1%
420848
 
10.9%
365793
34.3%
235331
18.4%
112481
 
6.5%

KBA13_FIAT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.242671207
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:46.094681image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9577289634
Coefficient of variation (CV)0.2953518573
Kurtosis-0.238769618
Mean3.242671207
Median Absolute Deviation (MAD)1
Skewness0.03783642701
Sum455177
Variance0.9172447674
MonotonicityNot monotonic
2021-05-29T15:55:46.188272image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363246
33.0%
434555
18.0%
222605
 
11.8%
515511
 
8.1%
14454
 
2.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
14454
 
2.3%
222605
 
11.8%
363246
33.0%
434555
18.0%
515511
 
8.1%
ValueCountFrequency (%)
515511
 
8.1%
434555
18.0%
363246
33.0%
222605
 
11.8%
14454
 
2.3%

KBA13_FORD
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.856922014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:46.276233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.07214441
Coefficient of variation (CV)0.3752795509
Kurtosis-0.4083927435
Mean2.856922014
Median Absolute Deviation (MAD)1
Skewness0.1342711727
Sum401029
Variance1.149493636
MonotonicityNot monotonic
2021-05-29T15:55:46.372780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
356900
29.7%
233925
17.7%
422627
 
11.8%
115656
 
8.2%
511263
 
5.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
115656
 
8.2%
233925
17.7%
356900
29.7%
422627
 
11.8%
511263
 
5.9%
ValueCountFrequency (%)
511263
 
5.9%
422627
 
11.8%
356900
29.7%
233925
17.7%
115656
 
8.2%

KBA13_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.663477499
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:46.461376image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.014805797
Coefficient of variation (CV)0.2770061498
Kurtosis-0.4859239634
Mean3.663477499
Median Absolute Deviation (MAD)1
Skewness-0.2833215973
Sum514246
Variance1.029830805
MonotonicityNot monotonic
2021-05-29T15:55:46.555343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
350677
26.4%
439632
20.7%
535612
18.6%
211177
 
5.8%
13273
 
1.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
13273
 
1.7%
211177
 
5.8%
350677
26.4%
439632
20.7%
535612
18.6%
ValueCountFrequency (%)
535612
18.6%
439632
20.7%
350677
26.4%
211177
 
5.8%
13273
 
1.7%

KBA13_HALTER_20
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.770536649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:46.643306image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9235390141
Coefficient of variation (CV)0.3333430057
Kurtosis-0.02894363981
Mean2.770536649
Median Absolute Deviation (MAD)1
Skewness0.09597124385
Sum388903
Variance0.8529243106
MonotonicityNot monotonic
2021-05-29T15:55:46.737163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364441
33.6%
238657
20.2%
420211
 
10.5%
111972
 
6.2%
55090
 
2.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
111972
 
6.2%
238657
20.2%
364441
33.6%
420211
 
10.5%
55090
 
2.7%
ValueCountFrequency (%)
55090
 
2.7%
420211
 
10.5%
364441
33.6%
238657
20.2%
111972
 
6.2%

KBA13_HALTER_25
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.615540247
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:46.829062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9319086888
Coefficient of variation (CV)0.3562968262
Kurtosis-0.1403309317
Mean2.615540247
Median Absolute Deviation (MAD)1
Skewness0.02993208687
Sum367146
Variance0.8684538043
MonotonicityNot monotonic
2021-05-29T15:55:46.926142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364228
33.5%
238768
20.2%
118686
 
9.7%
415205
 
7.9%
53484
 
1.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
118686
 
9.7%
238768
20.2%
364228
33.5%
415205
 
7.9%
53484
 
1.8%
ValueCountFrequency (%)
53484
 
1.8%
415205
 
7.9%
364228
33.5%
238768
20.2%
118686
 
9.7%

KBA13_HALTER_30
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.749727508
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:47.015171image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.010695377
Coefficient of variation (CV)0.3675620125
Kurtosis-0.185727734
Mean2.749727508
Median Absolute Deviation (MAD)1
Skewness0.140382087
Sum385982
Variance1.021505144
MonotonicityNot monotonic
2021-05-29T15:55:47.109204image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361714
32.2%
235576
18.6%
418573
 
9.7%
116786
 
8.8%
57722
 
4.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
116786
 
8.8%
235576
18.6%
361714
32.2%
418573
 
9.7%
57722
 
4.0%
ValueCountFrequency (%)
57722
 
4.0%
418573
 
9.7%
361714
32.2%
235576
18.6%
116786
 
8.8%

KBA13_HALTER_35
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.91888638
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:47.198672image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.069563239
Coefficient of variation (CV)0.3664285278
Kurtosis-0.4443085524
Mean2.91888638
Median Absolute Deviation (MAD)1
Skewness0.04266879156
Sum409727
Variance1.143965522
MonotonicityNot monotonic
2021-05-29T15:55:47.299854image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
356851
29.7%
231050
16.2%
426476
13.8%
114700
 
7.7%
511294
 
5.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
114700
 
7.7%
231050
16.2%
356851
29.7%
426476
13.8%
511294
 
5.9%
ValueCountFrequency (%)
511294
 
5.9%
426476
13.8%
356851
29.7%
231050
16.2%
114700
 
7.7%

KBA13_HALTER_40
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.027698029
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:47.411768image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.024388467
Coefficient of variation (CV)0.3383390476
Kurtosis-0.3086826458
Mean3.027698029
Median Absolute Deviation (MAD)1
Skewness0.007258454748
Sum425001
Variance1.049371732
MonotonicityNot monotonic
2021-05-29T15:55:47.526796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360310
31.5%
429175
15.2%
228437
14.8%
512012
 
6.3%
110437
 
5.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
110437
 
5.4%
228437
14.8%
360310
31.5%
429175
15.2%
512012
 
6.3%
ValueCountFrequency (%)
512012
 
6.3%
429175
15.2%
360310
31.5%
228437
14.8%
110437
 
5.4%

KBA13_HALTER_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.090047089
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:47.623928image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.010755738
Coefficient of variation (CV)0.3271004321
Kurtosis-0.2858946393
Mean3.090047089
Median Absolute Deviation (MAD)1
Skewness-0.0001263722988
Sum433753
Variance1.021627162
MonotonicityNot monotonic
2021-05-29T15:55:47.730394image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360843
31.7%
430884
16.1%
226972
14.1%
513018
 
6.8%
18654
 
4.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
18654
 
4.5%
226972
14.1%
360843
31.7%
430884
16.1%
513018
 
6.8%
ValueCountFrequency (%)
513018
 
6.8%
430884
16.1%
360843
31.7%
226972
14.1%
18654
 
4.5%

KBA13_HALTER_50
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.902130782
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:47.848915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.023940375
Coefficient of variation (CV)0.3528236498
Kurtosis-0.3223824964
Mean2.902130782
Median Absolute Deviation (MAD)1
Skewness0.06004445286
Sum407375
Variance1.048453891
MonotonicityNot monotonic
2021-05-29T15:55:48.013834image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
359247
30.9%
232773
17.1%
425887
13.5%
112945
 
6.8%
59519
 
5.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
112945
 
6.8%
232773
17.1%
359247
30.9%
425887
13.5%
59519
 
5.0%
ValueCountFrequency (%)
59519
 
5.0%
425887
13.5%
359247
30.9%
232773
17.1%
112945
 
6.8%

KBA13_HALTER_55
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.983593477
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:48.155624image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.030085356
Coefficient of variation (CV)0.3452499022
Kurtosis-0.3305388282
Mean2.983593477
Median Absolute Deviation (MAD)1
Skewness0.05139118664
Sum418810
Variance1.061075841
MonotonicityNot monotonic
2021-05-29T15:55:48.297460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
359544
31.1%
230682
16.0%
427427
14.3%
511597
 
6.1%
111121
 
5.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
111121
 
5.8%
230682
16.0%
359544
31.1%
427427
14.3%
511597
 
6.1%
ValueCountFrequency (%)
511597
 
6.1%
427427
14.3%
359544
31.1%
230682
16.0%
111121
 
5.8%

KBA13_HALTER_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.985203496
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:48.417734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.021825888
Coefficient of variation (CV)0.342296895
Kurtosis-0.2994671537
Mean2.985203496
Median Absolute Deviation (MAD)1
Skewness0.03534544924
Sum419036
Variance1.044128145
MonotonicityNot monotonic
2021-05-29T15:55:48.548277image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360412
31.5%
230056
15.7%
427691
14.4%
511178
 
5.8%
111034
 
5.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
111034
 
5.8%
230056
15.7%
360412
31.5%
427691
14.4%
511178
 
5.8%
ValueCountFrequency (%)
511178
 
5.8%
427691
14.4%
360412
31.5%
230056
15.7%
111034
 
5.8%

KBA13_HALTER_65
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.33614493
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:48.662375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.961205169
Coefficient of variation (CV)0.2881185288
Kurtosis-0.2615610691
Mean3.33614493
Median Absolute Deviation (MAD)1
Skewness-0.02309140673
Sum468298
Variance0.923915377
MonotonicityNot monotonic
2021-05-29T15:55:48.760674image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361924
32.3%
437290
19.5%
218789
 
9.8%
518355
 
9.6%
14013
 
2.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
14013
 
2.1%
218789
 
9.8%
361924
32.3%
437290
19.5%
518355
 
9.6%
ValueCountFrequency (%)
518355
 
9.6%
437290
19.5%
361924
32.3%
218789
 
9.8%
14013
 
2.1%

KBA13_HALTER_66
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.225709014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:48.848045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.049287139
Coefficient of variation (CV)0.3252888387
Kurtosis-0.4473664861
Mean3.225709014
Median Absolute Deviation (MAD)1
Skewness-0.04387944598
Sum452796
Variance1.1010035
MonotonicityNot monotonic
2021-05-29T15:55:48.940509image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
357128
29.8%
433143
17.3%
223948
12.5%
518698
 
9.8%
17454
 
3.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
17454
 
3.9%
223948
12.5%
357128
29.8%
433143
17.3%
518698
 
9.8%
ValueCountFrequency (%)
518698
 
9.8%
433143
17.3%
357128
29.8%
223948
12.5%
17454
 
3.9%

KBA13_HERST_ASIEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.760028781
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:49.029215image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.953098192
Coefficient of variation (CV)0.3453218309
Kurtosis-0.1393643316
Mean2.760028781
Median Absolute Deviation (MAD)1
Skewness0.05221876741
Sum387428
Variance0.9083961636
MonotonicityNot monotonic
2021-05-29T15:55:49.123277image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363321
33.0%
236659
19.1%
420876
 
10.9%
114233
 
7.4%
55282
 
2.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
114233
 
7.4%
236659
19.1%
363321
33.0%
420876
 
10.9%
55282
 
2.8%
ValueCountFrequency (%)
55282
 
2.8%
420876
 
10.9%
363321
33.0%
236659
19.1%
114233
 
7.4%

KBA13_HERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.055538537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:49.212744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9741951651
Coefficient of variation (CV)0.3188292844
Kurtosis-0.1327134235
Mean3.055538537
Median Absolute Deviation (MAD)1
Skewness-0.02459877161
Sum428909
Variance0.9490562197
MonotonicityNot monotonic
2021-05-29T15:55:49.307088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364373
33.6%
430416
15.9%
226364
13.8%
510545
 
5.5%
18673
 
4.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
18673
 
4.5%
226364
13.8%
364373
33.6%
430416
15.9%
510545
 
5.5%
ValueCountFrequency (%)
510545
 
5.5%
430416
15.9%
364373
33.6%
226364
13.8%
18673
 
4.5%

KBA13_HERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.495636563
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:49.406170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9381077471
Coefficient of variation (CV)0.268365355
Kurtosis-0.3119666781
Mean3.495636563
Median Absolute Deviation (MAD)1
Skewness-0.05682404457
Sum490686
Variance0.8800461452
MonotonicityNot monotonic
2021-05-29T15:55:49.501346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360281
31.5%
441075
21.4%
523372
 
12.2%
213040
 
6.8%
12603
 
1.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
12603
 
1.4%
213040
 
6.8%
360281
31.5%
441075
21.4%
523372
 
12.2%
ValueCountFrequency (%)
523372
 
12.2%
441075
21.4%
360281
31.5%
213040
 
6.8%
12603
 
1.4%

KBA13_HERST_EUROPA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.049525899
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:49.590258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.02890371
Coefficient of variation (CV)0.3373979246
Kurtosis-0.3254315097
Mean3.049525899
Median Absolute Deviation (MAD)1
Skewness0.033984511
Sum428065
Variance1.058642844
MonotonicityNot monotonic
2021-05-29T15:55:49.685523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360179
31.4%
428723
15.0%
228551
14.9%
513154
 
6.9%
19764
 
5.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
19764
 
5.1%
228551
14.9%
360179
31.4%
428723
15.0%
513154
 
6.9%
ValueCountFrequency (%)
513154
 
6.9%
428723
15.0%
360179
31.4%
228551
14.9%
19764
 
5.1%

KBA13_HERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.812959942
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:49.774469image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.095075219
Coefficient of variation (CV)0.3892964145
Kurtosis-0.5149300236
Mean2.812959942
Median Absolute Deviation (MAD)1
Skewness0.1068780573
Sum394858
Variance1.199189736
MonotonicityNot monotonic
2021-05-29T15:55:49.867241image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
354418
28.4%
233320
17.4%
423537
12.3%
118666
 
9.7%
510430
 
5.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
118666
 
9.7%
233320
17.4%
354418
28.4%
423537
12.3%
510430
 
5.4%
ValueCountFrequency (%)
510430
 
5.4%
423537
12.3%
354418
28.4%
233320
17.4%
118666
 
9.7%

KBA13_HERST_SONST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.803314075
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:49.955407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9411882279
Coefficient of variation (CV)0.3357412701
Kurtosis-0.02801934986
Mean2.803314075
Median Absolute Deviation (MAD)1
Skewness0.06367267959
Sum393504
Variance0.8858352803
MonotonicityNot monotonic
2021-05-29T15:55:50.049497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
365793
34.3%
235331
18.4%
420848
 
10.9%
112481
 
6.5%
55918
 
3.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
112481
 
6.5%
235331
18.4%
365793
34.3%
420848
 
10.9%
55918
 
3.1%
ValueCountFrequency (%)
55918
 
3.1%
420848
 
10.9%
365793
34.3%
235331
18.4%
112481
 
6.5%

KBA13_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.595429255
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:50.140785image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9357291255
Coefficient of variation (CV)0.2602551904
Kurtosis-0.6346260022
Mean3.595429255
Median Absolute Deviation (MAD)1
Skewness0.03309650049
Sum504694
Variance0.8755889963
MonotonicityNot monotonic
2021-05-29T15:55:50.235272image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360206
31.4%
438221
19.9%
529535
15.4%
211108
 
5.8%
11301
 
0.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
11301
 
0.7%
211108
 
5.8%
360206
31.4%
438221
19.9%
529535
15.4%
ValueCountFrequency (%)
529535
15.4%
438221
19.9%
360206
31.4%
211108
 
5.8%
11301
 
0.7%

KBA13_KMH_0_140
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.188699945
Minimum0
Maximum5
Zeros21541
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:50.331889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.524134908
Coefficient of variation (CV)0.6963653979
Kurtosis-1.148299836
Mean2.188699945
Median Absolute Deviation (MAD)2
Skewness0.09855194772
Sum307230
Variance2.322987218
MonotonicityNot monotonic
2021-05-29T15:55:50.445755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
349931
26.1%
141680
21.7%
021541
11.2%
415328
 
8.0%
510221
 
5.3%
21670
 
0.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
021541
11.2%
141680
21.7%
21670
 
0.9%
349931
26.1%
415328
 
8.0%
ValueCountFrequency (%)
510221
 
5.3%
415328
 
8.0%
349931
26.1%
21670
 
0.9%
141680
21.7%

KBA13_KMH_110
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.282878942
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:50.543825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6368973723
Coefficient of variation (CV)0.4964594486
Kurtosis2.517720661
Mean1.282878942
Median Absolute Deviation (MAD)0
Skewness2.029602532
Sum180079
Variance0.4056382629
MonotonicityNot monotonic
2021-05-29T15:55:50.651389image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1114895
59.9%
314232
 
7.4%
211244
 
5.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
1114895
59.9%
211244
 
5.9%
314232
 
7.4%
ValueCountFrequency (%)
314232
 
7.4%
211244
 
5.9%
1114895
59.9%

KBA13_KMH_140
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.638479458
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:50.755236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.351952662
Coefficient of variation (CV)0.5123984034
Kurtosis-1.326060439
Mean2.638479458
Median Absolute Deviation (MAD)1
Skewness0.111716822
Sum370366
Variance1.827776
MonotonicityNot monotonic
2021-05-29T15:55:50.860204image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
143684
22.8%
435044
18.3%
329866
15.6%
220659
10.8%
511118
 
5.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
143684
22.8%
220659
10.8%
329866
15.6%
435044
18.3%
511118
 
5.8%
ValueCountFrequency (%)
511118
 
5.8%
435044
18.3%
329866
15.6%
220659
10.8%
143684
22.8%

KBA13_KMH_140_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.678836797
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:50.962396image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.981038876
Coefficient of variation (CV)0.3662182322
Kurtosis-0.2581183473
Mean2.678836797
Median Absolute Deviation (MAD)1
Skewness0.04683244594
Sum376031
Variance0.9624372763
MonotonicityNot monotonic
2021-05-29T15:55:51.073401image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361808
32.3%
236066
18.8%
418826
 
9.8%
118796
 
9.8%
54875
 
2.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
118796
 
9.8%
236066
18.8%
361808
32.3%
418826
 
9.8%
54875
 
2.5%
ValueCountFrequency (%)
54875
 
2.5%
418826
 
9.8%
361808
32.3%
236066
18.8%
118796
 
9.8%

KBA13_KMH_180
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.730385906
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:51.178858image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9717099197
Coefficient of variation (CV)0.3558873922
Kurtosis-0.2505712569
Mean2.730385906
Median Absolute Deviation (MAD)1
Skewness0.02339643342
Sum383267
Variance0.9442201681
MonotonicityNot monotonic
2021-05-29T15:55:51.287950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361785
32.2%
236007
18.8%
421193
 
11.1%
116451
 
8.6%
54935
 
2.6%
(Missing)51281
26.8%
ValueCountFrequency (%)
116451
 
8.6%
236007
18.8%
361785
32.2%
421193
 
11.1%
54935
 
2.6%
ValueCountFrequency (%)
54935
 
2.6%
421193
 
11.1%
361785
32.2%
236007
18.8%
116451
 
8.6%

KBA13_KMH_210
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.138055581
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:51.378084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9268217252
Coefficient of variation (CV)0.2953490469
Kurtosis-0.05302073774
Mean3.138055581
Median Absolute Deviation (MAD)1
Skewness0.006016949612
Sum440492
Variance0.8589985103
MonotonicityNot monotonic
2021-05-29T15:55:51.470085image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366165
34.5%
433351
17.4%
224506
 
12.8%
510808
 
5.6%
15541
 
2.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
15541
 
2.9%
224506
 
12.8%
366165
34.5%
433351
17.4%
510808
 
5.6%
ValueCountFrequency (%)
510808
 
5.6%
433351
17.4%
366165
34.5%
224506
 
12.8%
15541
 
2.9%

KBA13_KMH_211
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.745481617
Minimum0
Maximum5
Zeros20007
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:51.569406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.510259898
Coefficient of variation (CV)0.5500892407
Kurtosis-0.5625299899
Mean2.745481617
Median Absolute Deviation (MAD)1
Skewness-0.3802347973
Sum385386
Variance2.280884959
MonotonicityNot monotonic
2021-05-29T15:55:51.663678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
351770
27.0%
222926
12.0%
520539
 
10.7%
020007
 
10.4%
418800
 
9.8%
16329
 
3.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
020007
 
10.4%
16329
 
3.3%
222926
12.0%
351770
27.0%
418800
 
9.8%
ValueCountFrequency (%)
520539
 
10.7%
418800
 
9.8%
351770
27.0%
222926
12.0%
16329
 
3.3%

KBA13_KMH_250
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.739119904
Minimum0
Maximum5
Zeros20125
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:51.790363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.509620005
Coefficient of variation (CV)0.551133232
Kurtosis-0.5625984589
Mean2.739119904
Median Absolute Deviation (MAD)1
Skewness-0.3786828138
Sum384493
Variance2.27895256
MonotonicityNot monotonic
2021-05-29T15:55:51.940097image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
352063
27.2%
222839
11.9%
520348
 
10.6%
020125
 
10.5%
418630
 
9.7%
16366
 
3.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
020125
 
10.5%
16366
 
3.3%
222839
11.9%
352063
27.2%
418630
 
9.7%
ValueCountFrequency (%)
520348
 
10.6%
418630
 
9.7%
352063
27.2%
222839
11.9%
16366
 
3.3%

KBA13_KMH_251
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.34081826
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:52.100771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7412278841
Coefficient of variation (CV)0.5528175638
Kurtosis1.123462864
Mean1.34081826
Median Absolute Deviation (MAD)0
Skewness1.752643048
Sum188212
Variance0.5494187762
MonotonicityNot monotonic
2021-05-29T15:55:52.210314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1115323
60.2%
322793
 
11.9%
22255
 
1.2%
(Missing)51281
26.8%
ValueCountFrequency (%)
1115323
60.2%
22255
 
1.2%
322793
 
11.9%
ValueCountFrequency (%)
322793
 
11.9%
22255
 
1.2%
1115323
60.2%

KBA13_KRSAQUOT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.996430887
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:52.316190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9955132367
Coefficient of variation (CV)0.3322330047
Kurtosis-0.2152403592
Mean2.996430887
Median Absolute Deviation (MAD)1
Skewness0.0265045596
Sum420612
Variance0.9910466045
MonotonicityNot monotonic
2021-05-29T15:55:52.426146image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
362447
32.6%
229461
15.4%
428066
14.6%
510422
 
5.4%
19975
 
5.2%
(Missing)51281
26.8%
ValueCountFrequency (%)
19975
 
5.2%
229461
15.4%
362447
32.6%
428066
14.6%
510422
 
5.4%
ValueCountFrequency (%)
510422
 
5.4%
428066
14.6%
362447
32.6%
229461
15.4%
19975
 
5.2%

KBA13_KRSHERST_AUDI_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.08714763
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:52.522716image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9830396275
Coefficient of variation (CV)0.3184297433
Kurtosis-0.2244924188
Mean3.08714763
Median Absolute Deviation (MAD)1
Skewness-0.05720705267
Sum433346
Variance0.9663669092
MonotonicityNot monotonic
2021-05-29T15:55:52.627986image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361316
32.0%
433418
17.4%
226417
13.8%
510918
 
5.7%
18302
 
4.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
18302
 
4.3%
226417
13.8%
361316
32.0%
433418
17.4%
510918
 
5.7%
ValueCountFrequency (%)
510918
 
5.7%
433418
17.4%
361316
32.0%
226417
13.8%
18302
 
4.3%

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.268267662
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:52.726895image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9496509321
Coefficient of variation (CV)0.2905670619
Kurtosis-0.216228949
Mean3.268267662
Median Absolute Deviation (MAD)1
Skewness0.04054579156
Sum458770
Variance0.9018368928
MonotonicityNot monotonic
2021-05-29T15:55:52.836450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364110
33.5%
434919
18.2%
221198
 
11.1%
516056
 
8.4%
14088
 
2.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
14088
 
2.1%
221198
 
11.1%
364110
33.5%
434919
18.2%
516056
 
8.4%
ValueCountFrequency (%)
516056
 
8.4%
434919
18.2%
364110
33.5%
221198
 
11.1%
14088
 
2.1%

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.826673601
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:52.948636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.058524557
Coefficient of variation (CV)0.3744771086
Kurtosis-0.4305283661
Mean2.826673601
Median Absolute Deviation (MAD)1
Skewness0.06444939915
Sum396783
Variance1.120474237
MonotonicityNot monotonic
2021-05-29T15:55:53.071444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
356960
29.7%
232947
17.2%
424435
12.7%
116969
 
8.9%
59060
 
4.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
116969
 
8.9%
232947
17.2%
356960
29.7%
424435
12.7%
59060
 
4.7%
ValueCountFrequency (%)
59060
 
4.7%
424435
12.7%
356960
29.7%
232947
17.2%
116969
 
8.9%

KBA13_KRSSEG_KLEIN
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.976711714
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:53.185862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.278902052
Coefficient of variation (CV)0.141093944
Kurtosis9.629279036
Mean1.976711714
Median Absolute Deviation (MAD)0
Skewness-0.8223889885
Sum277473
Variance0.07778635458
MonotonicityNot monotonic
2021-05-29T15:55:53.307151image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2129376
67.5%
17132
 
3.7%
33863
 
2.0%
(Missing)51281
 
26.8%
ValueCountFrequency (%)
17132
 
3.7%
2129376
67.5%
33863
 
2.0%
ValueCountFrequency (%)
33863
 
2.0%
2129376
67.5%
17132
 
3.7%

KBA13_KRSSEG_OBER
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.025197512
Minimum0
Maximum3
Zeros27
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:53.419274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5385467504
Coefficient of variation (CV)0.2659230752
Kurtosis0.4673001403
Mean2.025197512
Median Absolute Deviation (MAD)0
Skewness0.01346595869
Sum284279
Variance0.2900326024
MonotonicityNot monotonic
2021-05-29T15:55:53.533035image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
299651
52.0%
322142
 
11.6%
118551
 
9.7%
027
 
< 0.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
027
 
< 0.1%
118551
 
9.7%
299651
52.0%
322142
 
11.6%
ValueCountFrequency (%)
322142
 
11.6%
299651
52.0%
118551
 
9.7%
027
 
< 0.1%

KBA13_KRSSEG_VAN
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.980815126
Minimum0
Maximum3
Zeros60
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:53.638068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5912335712
Coefficient of variation (CV)0.2984799356
Kurtosis-0.1015259515
Mean1.980815126
Median Absolute Deviation (MAD)0
Skewness-0.007857913606
Sum278049
Variance0.3495571357
MonotonicityNot monotonic
2021-05-29T15:55:53.745334image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
291432
47.7%
125726
 
13.4%
323153
 
12.1%
060
 
< 0.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
060
 
< 0.1%
125726
 
13.4%
291432
47.7%
323153
 
12.1%
ValueCountFrequency (%)
323153
 
12.1%
291432
47.7%
125726
 
13.4%
060
 
< 0.1%

KBA13_KRSZUL_NEU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.99996438
Minimum0
Maximum3
Zeros2676
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:53.851124image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7398670759
Coefficient of variation (CV)0.3699401266
Kurtosis-0.4097552141
Mean1.99996438
Median Absolute Deviation (MAD)0
Skewness-0.2823717729
Sum280737
Variance0.54740329
MonotonicityNot monotonic
2021-05-29T15:55:53.967449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
271560
37.3%
335741
18.6%
130394
15.9%
02676
 
1.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
02676
 
1.4%
130394
15.9%
271560
37.3%
335741
18.6%
ValueCountFrequency (%)
335741
18.6%
271560
37.3%
130394
15.9%
02676
 
1.4%

KBA13_KW_0_60
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.767651438
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:54.080102image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9549701696
Coefficient of variation (CV)0.3450471243
Kurtosis-0.1642491798
Mean2.767651438
Median Absolute Deviation (MAD)1
Skewness0.02986273748
Sum388498
Variance0.9119680249
MonotonicityNot monotonic
2021-05-29T15:55:54.200458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363265
33.0%
235992
18.8%
421619
 
11.3%
114308
 
7.5%
55187
 
2.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
114308
 
7.5%
235992
18.8%
363265
33.0%
421619
 
11.3%
55187
 
2.7%
ValueCountFrequency (%)
55187
 
2.7%
421619
 
11.3%
363265
33.0%
235992
18.8%
114308
 
7.5%

KBA13_KW_110
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.60707696
Minimum0
Maximum5
Zeros19148
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:54.313015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.425965787
Coefficient of variation (CV)0.5469596061
Kurtosis-0.4586967915
Mean2.60707696
Median Absolute Deviation (MAD)1
Skewness-0.332508155
Sum365958
Variance2.033378427
MonotonicityNot monotonic
2021-05-29T15:55:54.427551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
353853
28.1%
227043
14.1%
019148
 
10.0%
417862
 
9.3%
514100
 
7.4%
18365
 
4.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
019148
 
10.0%
18365
 
4.4%
227043
14.1%
353853
28.1%
417862
 
9.3%
ValueCountFrequency (%)
514100
 
7.4%
417862
 
9.3%
353853
28.1%
227043
14.1%
18365
 
4.4%

KBA13_KW_120
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.508488221
Minimum0
Maximum5
Zeros17157
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:54.514764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.554176205
Coefficient of variation (CV)0.619566874
Kurtosis-1.075043311
Mean2.508488221
Median Absolute Deviation (MAD)1
Skewness-0.1121705976
Sum352119
Variance2.415463677
MonotonicityNot monotonic
2021-05-29T15:55:54.616485image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
350679
26.4%
132251
16.8%
418997
 
9.9%
017157
 
9.0%
516423
 
8.6%
24864
 
2.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
017157
 
9.0%
132251
16.8%
24864
 
2.5%
350679
26.4%
418997
 
9.9%
ValueCountFrequency (%)
516423
 
8.6%
418997
 
9.9%
350679
26.4%
24864
 
2.5%
132251
16.8%

KBA13_KW_121
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.775751402
Minimum0
Maximum5
Zeros15218
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:54.704505image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.474827616
Coefficient of variation (CV)0.5313255413
Kurtosis-0.600056625
Mean2.775751402
Median Absolute Deviation (MAD)1
Skewness-0.326024788
Sum389635
Variance2.175116497
MonotonicityNot monotonic
2021-05-29T15:55:54.814115image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
352206
27.2%
520655
 
10.8%
219460
 
10.2%
419330
 
10.1%
015218
 
7.9%
113502
 
7.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
015218
 
7.9%
113502
 
7.0%
219460
 
10.2%
352206
27.2%
419330
 
10.1%
ValueCountFrequency (%)
520655
 
10.8%
419330
 
10.1%
352206
27.2%
219460
 
10.2%
113502
 
7.0%

KBA13_KW_30
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean1.36097912
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:54.909100image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6437971695
Coefficient of variation (CV)0.473039711
Kurtosis1.104958286
Mean1.36097912
Median Absolute Deviation (MAD)0
Skewness1.560870911
Sum191042
Variance0.4144747954
MonotonicityNot monotonic
2021-05-29T15:55:55.015378image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1102600
53.5%
224871
 
13.0%
312900
 
6.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
1102600
53.5%
224871
 
13.0%
312900
 
6.7%
ValueCountFrequency (%)
312900
 
6.7%
224871
 
13.0%
1102600
53.5%

KBA13_KW_40
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.190943998
Minimum0
Maximum5
Zeros19498
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:55.113549image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.36030058
Coefficient of variation (CV)0.6208741898
Kurtosis-0.7316513023
Mean2.190943998
Median Absolute Deviation (MAD)1
Skewness-0.001832317544
Sum307545
Variance1.850417668
MonotonicityNot monotonic
2021-05-29T15:55:55.215211image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
349006
25.6%
127705
14.5%
225440
13.3%
019498
 
10.2%
411668
 
6.1%
57054
 
3.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
019498
 
10.2%
127705
14.5%
225440
13.3%
349006
25.6%
411668
 
6.1%
ValueCountFrequency (%)
57054
 
3.7%
411668
 
6.1%
349006
25.6%
225440
13.3%
127705
14.5%

KBA13_KW_50
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.170369948
Minimum0
Maximum5
Zeros29204
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:55.309385image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.412521485
Coefficient of variation (CV)0.6508206061
Kurtosis-0.7098842924
Mean2.170369948
Median Absolute Deviation (MAD)1
Skewness-0.1319295587
Sum304657
Variance1.995216946
MonotonicityNot monotonic
2021-05-29T15:55:55.413943image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
346474
24.2%
236567
19.1%
029204
15.2%
411741
 
6.1%
19197
 
4.8%
57188
 
3.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
029204
15.2%
19197
 
4.8%
236567
19.1%
346474
24.2%
411741
 
6.1%
ValueCountFrequency (%)
57188
 
3.8%
411741
 
6.1%
346474
24.2%
236567
19.1%
19197
 
4.8%

KBA13_KW_60
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.165062584
Minimum0
Maximum5
Zeros24799
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:55.502962image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.380791861
Coefficient of variation (CV)0.6377607149
Kurtosis-0.6772409111
Mean2.165062584
Median Absolute Deviation (MAD)1
Skewness-0.05280492599
Sum303912
Variance1.906586165
MonotonicityNot monotonic
2021-05-29T15:55:55.606748image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
345022
23.5%
234854
18.2%
024799
12.9%
116890
 
8.8%
411782
 
6.1%
57024
 
3.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
024799
12.9%
116890
 
8.8%
234854
18.2%
345022
23.5%
411782
 
6.1%
ValueCountFrequency (%)
57024
 
3.7%
411782
 
6.1%
345022
23.5%
234854
18.2%
116890
 
8.8%

KBA13_KW_61_120
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.084867957
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:55.700113image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9230644239
Coefficient of variation (CV)0.2992233174
Kurtosis-0.01166976236
Mean3.084867957
Median Absolute Deviation (MAD)1
Skewness-0.01929304727
Sum433026
Variance0.8520479307
MonotonicityNot monotonic
2021-05-29T15:55:55.821485image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366849
34.9%
432120
16.8%
225705
 
13.4%
59223
 
4.8%
16474
 
3.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
16474
 
3.4%
225705
 
13.4%
366849
34.9%
432120
16.8%
59223
 
4.8%
ValueCountFrequency (%)
59223
 
4.8%
432120
16.8%
366849
34.9%
225705
 
13.4%
16474
 
3.4%

KBA13_KW_70
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.255230781
Minimum0
Maximum5
Zeros27083
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:55.967985image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.415182554
Coefficient of variation (CV)0.627511191
Kurtosis-0.6695676825
Mean2.255230781
Median Absolute Deviation (MAD)1
Skewness-0.1849097869
Sum316569
Variance2.00274166
MonotonicityNot monotonic
2021-05-29T15:55:56.137691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
348311
25.2%
234903
18.2%
027083
14.1%
413320
 
7.0%
18805
 
4.6%
57949
 
4.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
027083
14.1%
18805
 
4.6%
234903
18.2%
348311
25.2%
413320
 
7.0%
ValueCountFrequency (%)
57949
 
4.1%
413320
 
7.0%
348311
25.2%
234903
18.2%
18805
 
4.6%

KBA13_KW_80
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.269941797
Minimum0
Maximum5
Zeros23396
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:56.292427image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.389211747
Coefficient of variation (CV)0.6120032456
Kurtosis-0.6372520249
Mean2.269941797
Median Absolute Deviation (MAD)1
Skewness-0.141427404
Sum318634
Variance1.929909279
MonotonicityNot monotonic
2021-05-29T15:55:56.463180image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
348485
25.3%
233083
17.3%
023396
12.2%
114209
 
7.4%
413186
 
6.9%
58012
 
4.2%
(Missing)51281
26.8%
ValueCountFrequency (%)
023396
12.2%
114209
 
7.4%
233083
17.3%
348485
25.3%
413186
 
6.9%
ValueCountFrequency (%)
58012
 
4.2%
413186
 
6.9%
348485
25.3%
233083
17.3%
114209
 
7.4%

KBA13_KW_90
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.423349552
Minimum0
Maximum5
Zeros23538
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:56.616712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.429510243
Coefficient of variation (CV)0.5898902373
Kurtosis-0.5724649255
Mean2.423349552
Median Absolute Deviation (MAD)1
Skewness-0.2540340996
Sum340168
Variance2.043499533
MonotonicityNot monotonic
2021-05-29T15:55:56.753370image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
350841
26.5%
231971
16.7%
023538
12.3%
415458
 
8.1%
510827
 
5.6%
17736
 
4.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
023538
12.3%
17736
 
4.0%
231971
16.7%
350841
26.5%
415458
 
8.1%
ValueCountFrequency (%)
510827
 
5.6%
415458
 
8.1%
350841
26.5%
231971
16.7%
17736
 
4.0%

KBA13_MAZDA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.95156407
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:56.864362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9786336186
Coefficient of variation (CV)0.3315644165
Kurtosis-0.170283206
Mean2.95156407
Median Absolute Deviation (MAD)1
Skewness0.1058175308
Sum414314
Variance0.9577237594
MonotonicityNot monotonic
2021-05-29T15:55:56.983064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
362795
32.8%
232851
17.1%
425662
13.4%
59629
 
5.0%
19434
 
4.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
19434
 
4.9%
232851
17.1%
362795
32.8%
425662
13.4%
59629
 
5.0%
ValueCountFrequency (%)
59629
 
5.0%
425662
13.4%
362795
32.8%
232851
17.1%
19434
 
4.9%

KBA13_MERCEDES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.413917405
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:57.082738image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9332138874
Coefficient of variation (CV)0.2733557309
Kurtosis-0.2491780571
Mean3.413917405
Median Absolute Deviation (MAD)1
Skewness-0.01364322894
Sum479215
Variance0.8708881596
MonotonicityNot monotonic
2021-05-29T15:55:57.183690image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
362517
32.6%
439555
20.6%
519915
 
10.4%
215485
 
8.1%
12899
 
1.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
12899
 
1.5%
215485
 
8.1%
362517
32.6%
439555
20.6%
519915
 
10.4%
ValueCountFrequency (%)
519915
 
10.4%
439555
20.6%
362517
32.6%
215485
 
8.1%
12899
 
1.5%

KBA13_MOTOR
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.7748894
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:57.281434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7810707107
Coefficient of variation (CV)0.2814781413
Kurtosis0.2944981816
Mean2.7748894
Median Absolute Deviation (MAD)0
Skewness-0.6811108749
Sum389514
Variance0.6100714551
MonotonicityNot monotonic
2021-05-29T15:55:57.383021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
384318
44.0%
225478
 
13.3%
418343
 
9.6%
112232
 
6.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
112232
 
6.4%
225478
 
13.3%
384318
44.0%
418343
 
9.6%
ValueCountFrequency (%)
418343
 
9.6%
384318
44.0%
225478
 
13.3%
112232
 
6.4%

KBA13_NISSAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.817305569
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:57.484518image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9832312116
Coefficient of variation (CV)0.3489970071
Kurtosis-0.1951323939
Mean2.817305569
Median Absolute Deviation (MAD)1
Skewness0.1318263908
Sum395468
Variance0.9667436155
MonotonicityNot monotonic
2021-05-29T15:55:57.593325image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360497
31.6%
237341
19.5%
422362
 
11.7%
112752
 
6.7%
57419
 
3.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
112752
 
6.7%
237341
19.5%
360497
31.6%
422362
 
11.7%
57419
 
3.9%
ValueCountFrequency (%)
57419
 
3.9%
422362
 
11.7%
360497
31.6%
237341
19.5%
112752
 
6.7%

KBA13_OPEL
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.858225702
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:57.695554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.094689005
Coefficient of variation (CV)0.3829959979
Kurtosis-0.5142690669
Mean2.858225702
Median Absolute Deviation (MAD)1
Skewness0.08181547442
Sum401212
Variance1.198344017
MonotonicityNot monotonic
2021-05-29T15:55:57.802536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
354793
28.6%
232334
16.9%
424759
12.9%
117324
 
9.0%
511161
 
5.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
117324
 
9.0%
232334
16.9%
354793
28.6%
424759
12.9%
511161
 
5.8%
ValueCountFrequency (%)
511161
 
5.8%
424759
12.9%
354793
28.6%
232334
16.9%
117324
 
9.0%

KBA13_PEUGEOT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.129841634
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:57.899237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.010289396
Coefficient of variation (CV)0.3227924971
Kurtosis-0.2908385626
Mean3.129841634
Median Absolute Deviation (MAD)1
Skewness0.004353375207
Sum439339
Variance1.020684665
MonotonicityNot monotonic
2021-05-29T15:55:58.005988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361079
31.9%
431281
16.3%
225895
13.5%
514268
 
7.4%
17848
 
4.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
17848
 
4.1%
225895
13.5%
361079
31.9%
431281
16.3%
514268
 
7.4%
ValueCountFrequency (%)
514268
 
7.4%
431281
16.3%
361079
31.9%
225895
13.5%
17848
 
4.1%

KBA13_RENAULT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.8842211
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:58.172800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.002775806
Coefficient of variation (CV)0.3476764683
Kurtosis-0.2260894159
Mean2.8842211
Median Absolute Deviation (MAD)1
Skewness0.08544963949
Sum404861
Variance1.005559317
MonotonicityNot monotonic
2021-05-29T15:55:58.344085image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361452
32.1%
233417
17.4%
424131
 
12.6%
112427
 
6.5%
58944
 
4.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
112427
 
6.5%
233417
17.4%
361452
32.1%
424131
 
12.6%
58944
 
4.7%
ValueCountFrequency (%)
58944
 
4.7%
424131
 
12.6%
361452
32.1%
233417
17.4%
112427
 
6.5%

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.144937345
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:58.495761image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9374550868
Coefficient of variation (CV)0.2980838675
Kurtosis-0.06045106109
Mean3.144937345
Median Absolute Deviation (MAD)1
Skewness0.02463697551
Sum441458
Variance0.8788220398
MonotonicityNot monotonic
2021-05-29T15:55:58.615044image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366469
34.7%
432294
16.9%
224139
 
12.6%
511782
 
6.1%
15687
 
3.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
15687
 
3.0%
224139
 
12.6%
366469
34.7%
432294
16.9%
511782
 
6.1%
ValueCountFrequency (%)
511782
 
6.1%
432294
16.9%
366469
34.7%
224139
 
12.6%
15687
 
3.0%

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.30824743
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:58.714089image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9627878663
Coefficient of variation (CV)0.2910265591
Kurtosis-0.2221099341
Mean3.30824743
Median Absolute Deviation (MAD)1
Skewness-0.03356944773
Sum464382
Variance0.9269604755
MonotonicityNot monotonic
2021-05-29T15:55:58.818058image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
362379
32.5%
436893
19.2%
219278
 
10.1%
517324
 
9.0%
14497
 
2.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
14497
 
2.3%
219278
 
10.1%
362379
32.5%
436893
19.2%
517324
 
9.0%
ValueCountFrequency (%)
517324
 
9.0%
436893
19.2%
362379
32.5%
219278
 
10.1%
14497
 
2.3%

KBA13_SEG_KLEINST
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.816992114
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:58.920377image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.010607382
Coefficient of variation (CV)0.3587540686
Kurtosis-0.286821032
Mean2.816992114
Median Absolute Deviation (MAD)1
Skewness0.05069935292
Sum395424
Variance1.021327281
MonotonicityNot monotonic
2021-05-29T15:55:59.029475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360502
31.6%
233657
17.6%
423480
 
12.3%
115244
 
8.0%
57488
 
3.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
115244
 
8.0%
233657
17.6%
360502
31.6%
423480
 
12.3%
57488
 
3.9%
ValueCountFrequency (%)
57488
 
3.9%
423480
 
12.3%
360502
31.6%
233657
17.6%
115244
 
8.0%

KBA13_SEG_KLEINWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.760848038
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:59.135771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9701304845
Coefficient of variation (CV)0.3513885846
Kurtosis-0.2036006464
Mean2.760848038
Median Absolute Deviation (MAD)1
Skewness0.01583038427
Sum387543
Variance0.941153157
MonotonicityNot monotonic
2021-05-29T15:55:59.243523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363083
32.9%
234770
18.1%
421568
 
11.3%
115567
 
8.1%
55383
 
2.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
115567
 
8.1%
234770
18.1%
363083
32.9%
421568
 
11.3%
55383
 
2.8%
ValueCountFrequency (%)
55383
 
2.8%
421568
 
11.3%
363083
32.9%
234770
18.1%
115567
 
8.1%

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.743964209
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:59.348245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9203209345
Coefficient of variation (CV)0.3353983013
Kurtosis-0.005413931325
Mean2.743964209
Median Absolute Deviation (MAD)1
Skewness0.02440108363
Sum385173
Variance0.8469906225
MonotonicityNot monotonic
2021-05-29T15:55:59.471542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366799
34.9%
236491
19.0%
418907
 
9.9%
113676
 
7.1%
54498
 
2.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
113676
 
7.1%
236491
19.0%
366799
34.9%
418907
 
9.9%
54498
 
2.3%
ValueCountFrequency (%)
54498
 
2.3%
418907
 
9.9%
366799
34.9%
236491
19.0%
113676
 
7.1%

KBA13_SEG_MINIVANS
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.081491191
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:59.594906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9767943022
Coefficient of variation (CV)0.3169875367
Kurtosis-0.1755041276
Mean3.081491191
Median Absolute Deviation (MAD)1
Skewness0.03718431282
Sum432552
Variance0.9541271088
MonotonicityNot monotonic
2021-05-29T15:55:59.721362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363756
33.3%
429945
15.6%
227254
14.2%
511895
 
6.2%
17521
 
3.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
17521
 
3.9%
227254
14.2%
363756
33.3%
429945
15.6%
511895
 
6.2%
ValueCountFrequency (%)
511895
 
6.2%
429945
15.6%
363756
33.3%
227254
14.2%
17521
 
3.9%

KBA13_SEG_MINIWAGEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.114311361
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:55:59.837385image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9477620495
Coefficient of variation (CV)0.3043247575
Kurtosis-0.09167807371
Mean3.114311361
Median Absolute Deviation (MAD)1
Skewness0.02559454704
Sum437159
Variance0.8982529024
MonotonicityNot monotonic
2021-05-29T15:55:59.957556image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
365642
34.3%
431445
16.4%
225553
 
13.3%
511404
 
6.0%
16327
 
3.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
16327
 
3.3%
225553
 
13.3%
365642
34.3%
431445
16.4%
511404
 
6.0%
ValueCountFrequency (%)
511404
 
6.0%
431445
16.4%
365642
34.3%
225553
 
13.3%
16327
 
3.3%

KBA13_SEG_MITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.981142829
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:00.076747image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9739906193
Coefficient of variation (CV)0.3267171938
Kurtosis-0.1588749295
Mean2.981142829
Median Absolute Deviation (MAD)1
Skewness0.05401156701
Sum418466
Variance0.9486577265
MonotonicityNot monotonic
2021-05-29T15:56:00.209967image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363519
33.1%
230709
16.0%
427356
14.3%
59570
 
5.0%
19217
 
4.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
19217
 
4.8%
230709
16.0%
363519
33.1%
427356
14.3%
59570
 
5.0%
ValueCountFrequency (%)
59570
 
5.0%
427356
14.3%
363519
33.1%
230709
16.0%
19217
 
4.8%

KBA13_SEG_OBEREMITTELKLASSE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.355237193
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:00.332983image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9353661649
Coefficient of variation (CV)0.2787779555
Kurtosis-0.2301126313
Mean3.355237193
Median Absolute Deviation (MAD)1
Skewness0.02969534055
Sum470978
Variance0.8749098623
MonotonicityNot monotonic
2021-05-29T15:56:00.450806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364136
33.5%
437215
19.4%
518275
 
9.5%
217590
 
9.2%
13155
 
1.6%
(Missing)51281
26.8%
ValueCountFrequency (%)
13155
 
1.6%
217590
 
9.2%
364136
33.5%
437215
19.4%
518275
 
9.5%
ValueCountFrequency (%)
518275
 
9.5%
437215
19.4%
364136
33.5%
217590
 
9.2%
13155
 
1.6%

KBA13_SEG_OBERKLASSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.728291456
Minimum0
Maximum5
Zeros14998
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:00.559453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.474938551
Coefficient of variation (CV)0.5406088662
Kurtosis-0.6630675495
Mean2.728291456
Median Absolute Deviation (MAD)1
Skewness-0.3084380804
Sum382973
Variance2.175443728
MonotonicityNot monotonic
2021-05-29T15:56:00.677107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
355586
29.0%
519114
 
10.0%
418586
 
9.7%
117873
 
9.3%
014998
 
7.8%
214214
 
7.4%
(Missing)51281
26.8%
ValueCountFrequency (%)
014998
 
7.8%
117873
 
9.3%
214214
 
7.4%
355586
29.0%
418586
 
9.7%
ValueCountFrequency (%)
519114
 
10.0%
418586
 
9.7%
355586
29.0%
214214
 
7.4%
117873
 
9.3%

KBA13_SEG_SONSTIGE
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.96209331
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:00.786436image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9052548519
Coefficient of variation (CV)0.3056132124
Kurtosis0.008300140446
Mean2.96209331
Median Absolute Deviation (MAD)1
Skewness0.1689217102
Sum415792
Variance0.8194863468
MonotonicityNot monotonic
2021-05-29T15:56:00.907528image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366805
34.9%
234136
17.8%
425541
 
13.3%
57763
 
4.1%
16126
 
3.2%
(Missing)51281
26.8%
ValueCountFrequency (%)
16126
 
3.2%
234136
17.8%
366805
34.9%
425541
 
13.3%
57763
 
4.1%
ValueCountFrequency (%)
57763
 
4.1%
425541
 
13.3%
366805
34.9%
234136
17.8%
16126
 
3.2%

KBA13_SEG_SPORTWAGEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.956465367
Minimum0
Maximum5
Zeros14430
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:01.016962image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.445583832
Coefficient of variation (CV)0.4889567956
Kurtosis-0.2886516217
Mean2.956465367
Median Absolute Deviation (MAD)1
Skewness-0.5032481522
Sum415002
Variance2.089712616
MonotonicityNot monotonic
2021-05-29T15:56:01.144404image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354690
28.5%
523806
12.4%
422016
11.5%
218409
 
9.6%
014430
 
7.5%
17020
 
3.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
014430
 
7.5%
17020
 
3.7%
218409
 
9.6%
354690
28.5%
422016
11.5%
ValueCountFrequency (%)
523806
12.4%
422016
11.5%
354690
28.5%
218409
 
9.6%
17020
 
3.7%

KBA13_SEG_UTILITIES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.0800379
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:01.250156image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9400335058
Coefficient of variation (CV)0.3052019282
Kurtosis-0.08997424617
Mean3.0800379
Median Absolute Deviation (MAD)1
Skewness0.05138409028
Sum432348
Variance0.8836629921
MonotonicityNot monotonic
2021-05-29T15:56:01.356988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
365610
34.2%
430533
15.9%
227502
14.3%
510414
 
5.4%
16312
 
3.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
16312
 
3.3%
227502
14.3%
365610
34.2%
430533
15.9%
510414
 
5.4%
ValueCountFrequency (%)
510414
 
5.4%
430533
15.9%
365610
34.2%
227502
14.3%
16312
 
3.3%

KBA13_SEG_VAN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.2142964
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:01.457280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9716826647
Coefficient of variation (CV)0.3023002685
Kurtosis-0.1993891519
Mean3.2142964
Median Absolute Deviation (MAD)1
Skewness-0.01399526871
Sum451194
Variance0.9441672009
MonotonicityNot monotonic
2021-05-29T15:56:01.563395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363075
32.9%
434291
17.9%
222444
 
11.7%
514839
 
7.7%
15722
 
3.0%
(Missing)51281
26.8%
ValueCountFrequency (%)
15722
 
3.0%
222444
 
11.7%
363075
32.9%
434291
17.9%
514839
 
7.7%
ValueCountFrequency (%)
514839
 
7.7%
434291
17.9%
363075
32.9%
222444
 
11.7%
15722
 
3.0%

KBA13_SEG_WOHNMOBILE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.669404649
Minimum0
Maximum5
Zeros15839
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:01.658371image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.404803512
Coefficient of variation (CV)0.5262609821
Kurtosis-0.4239869863
Mean2.669404649
Median Absolute Deviation (MAD)1
Skewness-0.3093967445
Sum374707
Variance1.973472908
MonotonicityNot monotonic
2021-05-29T15:56:01.761719image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354231
28.3%
225732
13.4%
418067
 
9.4%
015839
 
8.3%
515445
 
8.1%
111057
 
5.8%
(Missing)51281
26.8%
ValueCountFrequency (%)
015839
 
8.3%
111057
 
5.8%
225732
13.4%
354231
28.3%
418067
 
9.4%
ValueCountFrequency (%)
515445
 
8.1%
418067
 
9.4%
354231
28.3%
225732
13.4%
111057
 
5.8%

KBA13_SITZE_4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.454531207
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:01.852562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9398393676
Coefficient of variation (CV)0.2720598864
Kurtosis-0.2819040442
Mean3.454531207
Median Absolute Deviation (MAD)1
Skewness-0.04126574968
Sum484916
Variance0.8832980368
MonotonicityNot monotonic
2021-05-29T15:56:01.956350image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361290
32.0%
440184
21.0%
521788
 
11.4%
214261
 
7.4%
12848
 
1.5%
(Missing)51281
26.8%
ValueCountFrequency (%)
12848
 
1.5%
214261
 
7.4%
361290
32.0%
440184
21.0%
521788
 
11.4%
ValueCountFrequency (%)
521788
 
11.4%
440184
21.0%
361290
32.0%
214261
 
7.4%
12848
 
1.5%

KBA13_SITZE_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.514158907
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:02.053218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9517257628
Coefficient of variation (CV)0.3785463838
Kurtosis-0.2989844162
Mean2.514158907
Median Absolute Deviation (MAD)1
Skewness0.08447406193
Sum352915
Variance0.9057819276
MonotonicityNot monotonic
2021-05-29T15:56:02.155743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
359794
31.2%
240605
21.2%
123533
 
12.3%
413405
 
7.0%
53034
 
1.6%
(Missing)51281
26.8%
ValueCountFrequency (%)
123533
 
12.3%
240605
21.2%
359794
31.2%
413405
 
7.0%
53034
 
1.6%
ValueCountFrequency (%)
53034
 
1.6%
413405
 
7.0%
359794
31.2%
240605
21.2%
123533
 
12.3%

KBA13_SITZE_6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.33105841
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:02.258418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9778860875
Coefficient of variation (CV)0.2935661784
Kurtosis-0.2894903016
Mean3.33105841
Median Absolute Deviation (MAD)1
Skewness-0.02403242039
Sum467584
Variance0.9562612001
MonotonicityNot monotonic
2021-05-29T15:56:02.362092image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361775
32.2%
435900
18.7%
519235
 
10.0%
219023
 
9.9%
14438
 
2.3%
(Missing)51281
26.8%
ValueCountFrequency (%)
14438
 
2.3%
219023
 
9.9%
361775
32.2%
435900
18.7%
519235
 
10.0%
ValueCountFrequency (%)
519235
 
10.0%
435900
18.7%
361775
32.2%
219023
 
9.9%
14438
 
2.3%

KBA13_TOYOTA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.057426391
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:02.463290image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9834713156
Coefficient of variation (CV)0.3216663918
Kurtosis-0.1829946298
Mean3.057426391
Median Absolute Deviation (MAD)1
Skewness0.07139193922
Sum429174
Variance0.9672158286
MonotonicityNot monotonic
2021-05-29T15:56:02.575585image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
363780
33.3%
228473
14.9%
428238
14.7%
512014
 
6.3%
17866
 
4.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
17866
 
4.1%
228473
14.9%
363780
33.3%
428238
14.7%
512014
 
6.3%
ValueCountFrequency (%)
512014
 
6.3%
428238
14.7%
363780
33.3%
228473
14.9%
17866
 
4.1%

KBA13_VORB_0
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.37562602
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:02.686327image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9566412849
Coefficient of variation (CV)0.2833967031
Kurtosis-0.3455956916
Mean3.37562602
Median Absolute Deviation (MAD)1
Skewness-0.002431504675
Sum473840
Variance0.915162548
MonotonicityNot monotonic
2021-05-29T15:56:02.799216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
360825
31.7%
438154
19.9%
519718
 
10.3%
218485
 
9.6%
13189
 
1.7%
(Missing)51281
26.8%
ValueCountFrequency (%)
13189
 
1.7%
218485
 
9.6%
360825
31.7%
438154
19.9%
519718
 
10.3%
ValueCountFrequency (%)
519718
 
10.3%
438154
19.9%
360825
31.7%
218485
 
9.6%
13189
 
1.7%

KBA13_VORB_1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.047132242
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:02.910415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9253622604
Coefficient of variation (CV)0.3036829999
Kurtosis-0.0280992086
Mean3.047132242
Median Absolute Deviation (MAD)1
Skewness0.005265661408
Sum427729
Variance0.856295313
MonotonicityNot monotonic
2021-05-29T15:56:03.028922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
366631
34.8%
430553
15.9%
227597
14.4%
58710
 
4.5%
16880
 
3.6%
(Missing)51281
26.8%
ValueCountFrequency (%)
16880
 
3.6%
227597
14.4%
366631
34.8%
430553
15.9%
58710
 
4.5%
ValueCountFrequency (%)
58710
 
4.5%
430553
15.9%
366631
34.8%
227597
14.4%
16880
 
3.6%

KBA13_VORB_1_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.852861346
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:03.142458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9614311831
Coefficient of variation (CV)0.3370059272
Kurtosis-0.1637057856
Mean2.852861346
Median Absolute Deviation (MAD)1
Skewness-0.03117309276
Sum400459
Variance0.9243499198
MonotonicityNot monotonic
2021-05-29T15:56:03.259896image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364227
33.5%
232132
16.8%
425130
 
13.1%
112854
 
6.7%
56028
 
3.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
112854
 
6.7%
232132
16.8%
364227
33.5%
425130
 
13.1%
56028
 
3.1%
ValueCountFrequency (%)
56028
 
3.1%
425130
 
13.1%
364227
33.5%
232132
16.8%
112854
 
6.7%

KBA13_VORB_2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.854307514
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:03.374853image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.921045844
Coefficient of variation (CV)0.3226862696
Kurtosis-0.01913213754
Mean2.854307514
Median Absolute Deviation (MAD)1
Skewness0.08043723629
Sum400662
Variance0.8483254468
MonotonicityNot monotonic
2021-05-29T15:56:03.494833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
365598
34.2%
235863
18.7%
423148
 
12.1%
19815
 
5.1%
55947
 
3.1%
(Missing)51281
26.8%
ValueCountFrequency (%)
19815
 
5.1%
235863
18.7%
365598
34.2%
423148
 
12.1%
55947
 
3.1%
ValueCountFrequency (%)
55947
 
3.1%
423148
 
12.1%
365598
34.2%
235863
18.7%
19815
 
5.1%

KBA13_VORB_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean2.011911292
Minimum0
Maximum5
Zeros31766
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:03.605682image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.375629499
Coefficient of variation (CV)0.6837426202
Kurtosis-0.759494375
Mean2.011911292
Median Absolute Deviation (MAD)1
Skewness-0.0546854007
Sum282414
Variance1.892356517
MonotonicityNot monotonic
2021-05-29T15:56:03.717976image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
343122
22.5%
238940
20.3%
031766
16.6%
112026
 
6.3%
49443
 
4.9%
55074
 
2.6%
(Missing)51281
26.8%
ValueCountFrequency (%)
031766
16.6%
112026
 
6.3%
238940
20.3%
343122
22.5%
49443
 
4.9%
ValueCountFrequency (%)
55074
 
2.6%
49443
 
4.9%
343122
22.5%
238940
20.3%
112026
 
6.3%

KBA13_VW
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing51281
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.002358037
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:03.813392image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9728604006
Coefficient of variation (CV)0.324032107
Kurtosis-0.1273016851
Mean3.002358037
Median Absolute Deviation (MAD)1
Skewness0.00197430622
Sum421444
Variance0.946457359
MonotonicityNot monotonic
2021-05-29T15:56:03.916949image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
364606
33.7%
428389
14.8%
228346
14.8%
59587
 
5.0%
19443
 
4.9%
(Missing)51281
26.8%
ValueCountFrequency (%)
19443
 
4.9%
228346
14.8%
364606
33.7%
428389
14.8%
59587
 
5.0%
ValueCountFrequency (%)
59587
 
5.0%
428389
14.8%
364606
33.7%
228346
14.8%
19443
 
4.9%

KK_KUNDENTYP
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing111937
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean3.421802672
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:04.016377image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.623889984
Coefficient of variation (CV)0.4745714874
Kurtosis-1.149253485
Mean3.421802672
Median Absolute Deviation (MAD)1
Skewness0.1285611156
Sum272769
Variance2.637018679
MonotonicityNot monotonic
2021-05-29T15:56:04.132155image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
317511
 
9.1%
215394
 
8.0%
512741
 
6.6%
411653
 
6.1%
611343
 
5.9%
111073
 
5.8%
(Missing)111937
58.4%
ValueCountFrequency (%)
111073
5.8%
215394
8.0%
317511
9.1%
411653
6.1%
512741
6.6%
ValueCountFrequency (%)
611343
5.9%
512741
6.6%
411653
6.1%
317511
9.1%
215394
8.0%

KKK
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing54260
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean2.321568941
Minimum0
Maximum4
Zeros5804
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:04.237906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.100511535
Coefficient of variation (CV)0.4740378437
Kurtosis-0.8173424217
Mean2.321568941
Median Absolute Deviation (MAD)1
Skewness-0.1312618203
Sum318965
Variance1.211125638
MonotonicityNot monotonic
2021-05-29T15:56:04.347523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
340739
21.3%
240049
20.9%
128850
15.1%
421950
11.5%
05804
 
3.0%
(Missing)54260
28.3%
ValueCountFrequency (%)
05804
 
3.0%
128850
15.1%
240049
20.9%
340739
21.3%
421950
11.5%
ValueCountFrequency (%)
421950
11.5%
340739
21.3%
240049
20.9%
128850
15.1%
05804
 
3.0%

KOMBIALTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.997839835
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:04.451810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.340319837
Coefficient of variation (CV)0.4682662739
Kurtosis-0.6574909575
Mean4.997839835
Median Absolute Deviation (MAD)0
Skewness0.9911719967
Sum957846
Variance5.47709694
MonotonicityNot monotonic
2021-05-29T15:56:04.558238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4109179
57.0%
947051
24.6%
328344
 
14.8%
25561
 
2.9%
11517
 
0.8%
ValueCountFrequency (%)
11517
 
0.8%
25561
 
2.9%
328344
 
14.8%
4109179
57.0%
947051
24.6%
ValueCountFrequency (%)
947051
24.6%
4109179
57.0%
328344
 
14.8%
25561
 
2.9%
11517
 
0.8%

KONSUMNAEHE
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing46651
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean3.129978414
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:04.656697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.439739672
Coefficient of variation (CV)0.4599838981
Kurtosis-1.056228765
Mean3.129978414
Median Absolute Deviation (MAD)1
Skewness0.02010129011
Sum453850
Variance2.072850323
MonotonicityNot monotonic
2021-05-29T15:56:04.761083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
334383
17.9%
528405
14.8%
427995
14.6%
125886
13.5%
224857
13.0%
63229
 
1.7%
7246
 
0.1%
(Missing)46651
24.3%
ValueCountFrequency (%)
125886
13.5%
224857
13.0%
334383
17.9%
427995
14.6%
528405
14.8%
ValueCountFrequency (%)
7246
 
0.1%
63229
 
1.7%
528405
14.8%
427995
14.6%
334383
17.9%

KONSUMZELLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean0.1771458811
Minimum0
Maximum1
Zeros116619
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:04.865111image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3817934604
Coefficient of variation (CV)2.155248872
Kurtosis0.8604198588
Mean0.1771458811
Median Absolute Deviation (MAD)0
Skewness1.691273992
Sum25106
Variance0.1457662464
MonotonicityNot monotonic
2021-05-29T15:56:04.975388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0116619
60.8%
125106
 
13.1%
(Missing)49927
26.1%
ValueCountFrequency (%)
0116619
60.8%
125106
 
13.1%
ValueCountFrequency (%)
125106
 
13.1%
0116619
60.8%

LP_FAMILIE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.254448389
Minimum0
Maximum11
Zeros47369
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:05.085795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.492806628
Coefficient of variation (CV)1.056025651
Kurtosis-1.578131385
Mean4.254448389
Median Absolute Deviation (MAD)2
Skewness0.5245495186
Sum801704
Variance20.18531139
MonotonicityNot monotonic
2021-05-29T15:56:05.200293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
047369
24.7%
140769
21.3%
1036568
19.1%
228937
15.1%
1122289
11.6%
84686
 
2.4%
72960
 
1.5%
92428
 
1.3%
5903
 
0.5%
6831
 
0.4%
Other values (2)699
 
0.4%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
047369
24.7%
140769
21.3%
228937
15.1%
3155
 
0.1%
4544
 
0.3%
ValueCountFrequency (%)
1122289
11.6%
1036568
19.1%
92428
 
1.3%
84686
 
2.4%
72960
 
1.5%

LP_FAMILIE_GROB
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2.355043277
Minimum0
Maximum5
Zeros47369
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:05.308957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.052141644
Coefficient of variation (CV)0.8713817129
Kurtosis-1.606584382
Mean2.355043277
Median Absolute Deviation (MAD)2
Skewness0.2767634688
Sum443782
Variance4.211285328
MonotonicityNot monotonic
2021-05-29T15:56:05.428638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
561285
32.0%
047369
24.7%
140769
21.3%
228937
15.1%
48477
 
4.4%
31602
 
0.8%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
047369
24.7%
140769
21.3%
228937
15.1%
31602
 
0.8%
48477
 
4.4%
ValueCountFrequency (%)
561285
32.0%
48477
 
4.4%
31602
 
0.8%
228937
15.1%
140769
21.3%

LP_LEBENSPHASE_FEIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean18.18157069
Minimum0
Maximum40
Zeros47840
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:05.562304image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q336
95-th percentile40
Maximum40
Range40
Interquartile range (IQR)36

Descriptive statistics

Standard deviation15.00998521
Coefficient of variation (CV)0.8255604238
Kurtosis-1.479585124
Mean18.18157069
Median Absolute Deviation (MAD)16
Skewness0.1823497672
Sum3426117
Variance225.2996559
MonotonicityNot monotonic
2021-05-29T15:56:05.730958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
047840
25.0%
4018299
 
9.5%
2010851
 
5.7%
139972
 
5.2%
368821
 
4.6%
388648
 
4.5%
396785
 
3.5%
66646
 
3.5%
86297
 
3.3%
196143
 
3.2%
Other values (31)58137
30.3%
ValueCountFrequency (%)
047840
25.0%
1553
 
0.3%
2663
 
0.3%
3258
 
0.1%
4434
 
0.2%
ValueCountFrequency (%)
4018299
9.5%
396785
 
3.5%
388648
4.5%
374592
 
2.4%
368821
4.6%

LP_LEBENSPHASE_GROB
Real number (ℝ≥0)

MISSING
ZEROS

Distinct13
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean5.422693816
Minimum0
Maximum12
Zeros47728
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:05.854246image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q312
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)12

Descriptive statistics

Standard deviation4.717907433
Coefficient of variation (CV)0.8700302088
Kurtosis-1.487400067
Mean5.422693816
Median Absolute Deviation (MAD)4
Skewness0.3181147429
Sum1021847
Variance22.25865055
MonotonicityNot monotonic
2021-05-29T15:56:05.961535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
047728
24.9%
1247145
24.6%
321739
11.3%
521069
11.0%
216904
 
8.8%
109398
 
4.9%
47851
 
4.1%
87280
 
3.8%
113326
 
1.7%
11908
 
1.0%
Other values (3)4091
 
2.1%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
047728
24.9%
11908
 
1.0%
216904
 
8.8%
321739
11.3%
47851
 
4.1%
ValueCountFrequency (%)
1247145
24.6%
113326
 
1.7%
109398
 
4.9%
91292
 
0.7%
87280
 
3.8%

LP_STATUS_FEIN
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean6.687909615
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:07.998391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.090572785
Coefficient of variation (CV)0.46211342
Kurtosis-1.14949574
Mean6.687909615
Median Absolute Deviation (MAD)3
Skewness-0.4256118986
Sum1260263
Variance9.551640139
MonotonicityNot monotonic
2021-05-29T15:56:08.146865image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1054653
28.5%
541912
21.9%
932916
17.2%
119271
 
10.1%
315364
 
8.0%
710574
 
5.5%
66502
 
3.4%
45004
 
2.6%
21404
 
0.7%
8839
 
0.4%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
119271
10.1%
21404
 
0.7%
315364
 
8.0%
45004
 
2.6%
541912
21.9%
ValueCountFrequency (%)
1054653
28.5%
932916
17.2%
8839
 
0.4%
710574
 
5.5%
66502
 
3.4%

LP_STATUS_GROB
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean3.209250739
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:08.288956image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.436958279
Coefficient of variation (CV)0.4477550669
Kurtosis-1.505216079
Mean3.209250739
Median Absolute Deviation (MAD)1
Skewness-0.004799456829
Sum604748
Variance2.064849097
MonotonicityNot monotonic
2021-05-29T15:56:08.444422image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
262280
32.5%
554653
28.5%
433755
17.6%
120675
 
10.8%
317076
 
8.9%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
120675
 
10.8%
262280
32.5%
317076
 
8.9%
433755
17.6%
554653
28.5%
ValueCountFrequency (%)
554653
28.5%
433755
17.6%
317076
 
8.9%
262280
32.5%
120675
 
10.8%

MIN_GEBAEUDEJAHR
Real number (ℝ≥0)

MISSING

Distinct32
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean1993.056659
Minimum1985
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:08.607686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31992
95-th percentile1999
Maximum2016
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.080241078
Coefficient of variation (CV)0.001545485957
Kurtosis16.6545333
Mean1993.056659
Median Absolute Deviation (MAD)0
Skewness3.801723463
Sum282465955
Variance9.487885101
MonotonicityNot monotonic
2021-05-29T15:56:08.797704image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1992106438
55.5%
199411714
 
6.1%
19934084
 
2.1%
19952896
 
1.5%
19962618
 
1.4%
19972524
 
1.3%
20001241
 
0.6%
19911121
 
0.6%
19901022
 
0.5%
2001973
 
0.5%
Other values (22)7094
 
3.7%
(Missing)49927
26.1%
ValueCountFrequency (%)
198516
 
< 0.1%
198638
 
< 0.1%
1987118
 
0.1%
1988245
0.1%
1989581
0.3%
ValueCountFrequency (%)
20164
 
< 0.1%
201588
< 0.1%
2014147
0.1%
2013188
0.1%
2012219
0.1%

MOBI_RASTER
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean2.90036338
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:08.907912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.527411359
Coefficient of variation (CV)0.5266275839
Kurtosis-1.119048648
Mean2.90036338
Median Absolute Deviation (MAD)1
Skewness0.2284179168
Sum411054
Variance2.33298546
MonotonicityNot monotonic
2021-05-29T15:56:09.011195image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
137688
19.7%
329878
15.6%
424729
12.9%
222543
11.8%
521592
11.3%
65295
 
2.8%
(Missing)49927
26.1%
ValueCountFrequency (%)
137688
19.7%
222543
11.8%
329878
15.6%
424729
12.9%
521592
11.3%
ValueCountFrequency (%)
65295
 
2.8%
521592
11.3%
424729
12.9%
329878
15.6%
222543
11.8%

MOBI_REGIO
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing55980
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean3.627424966
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:09.102096image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.28244416
Coefficient of variation (CV)0.3535411958
Kurtosis-0.5995691426
Mean3.627424966
Median Absolute Deviation (MAD)1
Skewness-0.662550733
Sum492140
Variance1.644663024
MonotonicityNot monotonic
2021-05-29T15:56:09.208554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
542651
22.3%
439148
20.4%
327399
14.3%
113204
 
6.9%
213182
 
6.9%
688
 
< 0.1%
(Missing)55980
29.2%
ValueCountFrequency (%)
113204
 
6.9%
213182
 
6.9%
327399
14.3%
439148
20.4%
542651
22.3%
ValueCountFrequency (%)
688
 
< 0.1%
542651
22.3%
439148
20.4%
327399
14.3%
213182
 
6.9%

NATIONALITAET_KZ
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7734330975
Minimum0
Maximum3
Zeros48750
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:09.303317image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4959831656
Coefficient of variation (CV)0.6412748139
Kurtosis2.087648933
Mean0.7734330975
Median Absolute Deviation (MAD)0
Skewness-0.0183831319
Sum148230
Variance0.2459993006
MonotonicityNot monotonic
2021-05-29T15:56:09.408779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1139027
72.5%
048750
 
25.4%
22422
 
1.3%
31453
 
0.8%
ValueCountFrequency (%)
048750
 
25.4%
1139027
72.5%
22422
 
1.3%
31453
 
0.8%
ValueCountFrequency (%)
31453
 
0.8%
22422
 
1.3%
1139027
72.5%
048750
 
25.4%

ONLINE_AFFINITAET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2.764326917
Minimum0
Maximum5
Zeros4110
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:09.500796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.266049511
Coefficient of variation (CV)0.4579955803
Kurtosis-0.7882827556
Mean2.764326917
Median Absolute Deviation (MAD)1
Skewness0.2320495767
Sum520907
Variance1.602881364
MonotonicityNot monotonic
2021-05-29T15:56:09.607574image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
276440
39.9%
439104
20.4%
328791
 
15.0%
521311
 
11.1%
118683
 
9.7%
04110
 
2.1%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
04110
 
2.1%
118683
 
9.7%
276440
39.9%
328791
 
15.0%
439104
20.4%
ValueCountFrequency (%)
521311
 
11.1%
439104
20.4%
328791
 
15.0%
276440
39.9%
118683
 
9.7%

ORTSGR_KLS9
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing50476
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean5.119517482
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:09.702840image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.159183781
Coefficient of variation (CV)0.4217553292
Kurtosis-0.8126478698
Mean5.119517482
Median Absolute Deviation (MAD)2
Skewness0.08996363608
Sum722753
Variance4.662074599
MonotonicityNot monotonic
2021-05-29T15:56:09.810522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
528741
15.0%
423133
12.1%
719363
 
10.1%
316046
 
8.4%
613456
 
7.0%
212468
 
6.5%
911430
 
6.0%
811108
 
5.8%
15431
 
2.8%
(Missing)50476
26.3%
ValueCountFrequency (%)
15431
 
2.8%
212468
6.5%
316046
8.4%
423133
12.1%
528741
15.0%
ValueCountFrequency (%)
911430
 
6.0%
811108
 
5.8%
719363
10.1%
613456
7.0%
528741
15.0%

OST_WEST_KZ
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Memory size1.5 MiB
W
130382 
O
 
11343

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowW
3rd rowW
4th rowW
5th rowW

Common Values

ValueCountFrequency (%)
W130382
68.0%
O11343
 
5.9%
(Missing)49927
 
26.1%

PLZ8_ANTG1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing52764
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean2.537404239
Minimum0
Maximum4
Zeros340
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:10.023517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9049274384
Coefficient of variation (CV)0.3566351094
Kurtosis-0.6963995068
Mean2.537404239
Median Absolute Deviation (MAD)1
Skewness-0.04181806744
Sum352415
Variance0.8188936688
MonotonicityNot monotonic
2021-05-29T15:56:10.138317image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
250071
26.1%
349894
26.0%
421336
11.1%
117247
 
9.0%
0340
 
0.2%
(Missing)52764
27.5%
ValueCountFrequency (%)
0340
 
0.2%
117247
 
9.0%
250071
26.1%
349894
26.0%
421336
11.1%
ValueCountFrequency (%)
421336
11.1%
349894
26.0%
250071
26.1%
117247
 
9.0%
0340
 
0.2%

PLZ8_ANTG2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing52764
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean2.731510282
Minimum0
Maximum4
Zeros648
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:10.258952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8409224398
Coefficient of variation (CV)0.3078598845
Kurtosis-0.2526594664
Mean2.731510282
Median Absolute Deviation (MAD)1
Skewness-0.277391333
Sum379374
Variance0.7071505498
MonotonicityNot monotonic
2021-05-29T15:56:10.391182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
361778
32.2%
242938
22.4%
424880
13.0%
18644
 
4.5%
0648
 
0.3%
(Missing)52764
27.5%
ValueCountFrequency (%)
0648
 
0.3%
18644
 
4.5%
242938
22.4%
361778
32.2%
424880
13.0%
ValueCountFrequency (%)
424880
13.0%
361778
32.2%
242938
22.4%
18644
 
4.5%
0648
 
0.3%

PLZ8_ANTG3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing52764
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean1.388816888
Minimum0
Maximum3
Zeros23001
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:10.510543image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8850379922
Coefficient of variation (CV)0.6372603902
Kurtosis-0.7264364308
Mean1.388816888
Median Absolute Deviation (MAD)1
Skewness0.08607009807
Sum192890
Variance0.7832922476
MonotonicityNot monotonic
2021-05-29T15:56:10.630226image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
153775
28.1%
247221
24.6%
023001
12.0%
314891
 
7.8%
(Missing)52764
27.5%
ValueCountFrequency (%)
023001
12.0%
153775
28.1%
247221
24.6%
314891
 
7.8%
ValueCountFrequency (%)
314891
 
7.8%
247221
24.6%
153775
28.1%
023001
12.0%

PLZ8_ANTG4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing52764
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean0.5399386556
Minimum0
Maximum2
Zeros74829
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:10.739130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6370475911
Coefficient of variation (CV)1.179851793
Kurtosis-0.4459976711
Mean0.5399386556
Median Absolute Deviation (MAD)0
Skewness0.7636687545
Sum74991
Variance0.4058296333
MonotonicityNot monotonic
2021-05-29T15:56:10.861271image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
074829
39.0%
153127
27.7%
210932
 
5.7%
(Missing)52764
27.5%
ValueCountFrequency (%)
074829
39.0%
153127
27.7%
210932
 
5.7%
ValueCountFrequency (%)
210932
 
5.7%
153127
27.7%
074829
39.0%

PLZ8_BAUMAX
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing52764
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean1.556606762
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:10.982351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.185736065
Coefficient of variation (CV)0.7617441308
Kurtosis2.957120521
Mean1.556606762
Median Absolute Deviation (MAD)0
Skewness2.088812665
Sum216194
Variance1.405970016
MonotonicityNot monotonic
2021-05-29T15:56:11.088184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1106688
55.7%
212315
 
6.4%
510170
 
5.3%
44881
 
2.5%
34834
 
2.5%
(Missing)52764
27.5%
ValueCountFrequency (%)
1106688
55.7%
212315
 
6.4%
34834
 
2.5%
44881
 
2.5%
510170
 
5.3%
ValueCountFrequency (%)
510170
 
5.3%
44881
 
2.5%
34834
 
2.5%
212315
 
6.4%
1106688
55.7%

PLZ8_GBZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing52764
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean3.622191982
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:11.187638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.008472036
Coefficient of variation (CV)0.2784148495
Kurtosis-0.4652710304
Mean3.622191982
Median Absolute Deviation (MAD)1
Skewness-0.2380892227
Sum503079
Variance1.017015847
MonotonicityNot monotonic
2021-05-29T15:56:11.294888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
352270
27.3%
438987
20.3%
532798
17.1%
211498
 
6.0%
13335
 
1.7%
(Missing)52764
27.5%
ValueCountFrequency (%)
13335
 
1.7%
211498
 
6.0%
352270
27.3%
438987
20.3%
532798
17.1%
ValueCountFrequency (%)
532798
17.1%
438987
20.3%
352270
27.3%
211498
 
6.0%
13335
 
1.7%

PLZ8_HHZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing52764
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean3.634892863
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:11.397096image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9336602633
Coefficient of variation (CV)0.2568604629
Kurtosis-0.7021040933
Mean3.634892863
Median Absolute Deviation (MAD)1
Skewness0.01656171981
Sum504843
Variance0.8717214873
MonotonicityNot monotonic
2021-05-29T15:56:11.503696image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
358232
30.4%
438378
20.0%
531053
16.2%
210145
 
5.3%
11080
 
0.6%
(Missing)52764
27.5%
ValueCountFrequency (%)
11080
 
0.6%
210145
 
5.3%
358232
30.4%
438378
20.0%
531053
16.2%
ValueCountFrequency (%)
531053
16.2%
438378
20.0%
358232
30.4%
210145
 
5.3%
11080
 
0.6%

PRAEGENDE_JUGENDJAHRE
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.248272911
Minimum0
Maximum15
Zeros48487
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:11.612365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q36
95-th percentile11
Maximum15
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.807670852
Coefficient of variation (CV)0.8962867809
Kurtosis-0.08445305812
Mean4.248272911
Median Absolute Deviation (MAD)3
Skewness0.7543637158
Sum814190
Variance14.49835732
MonotonicityNot monotonic
2021-05-29T15:56:11.723371image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
048487
25.3%
422216
11.6%
320361
10.6%
517752
 
9.3%
615457
 
8.1%
814910
 
7.8%
211316
 
5.9%
911133
 
5.8%
110405
 
5.4%
116246
 
3.3%
Other values (6)13369
 
7.0%
ValueCountFrequency (%)
048487
25.3%
110405
 
5.4%
211316
 
5.9%
320361
10.6%
422216
11.6%
ValueCountFrequency (%)
152550
1.3%
143621
1.9%
13587
 
0.3%
12714
 
0.4%
116246
3.3%

REGIOTYP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing54260
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean3.814341446
Minimum0
Maximum7
Zeros5804
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:11.839400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.075154504
Coefficient of variation (CV)0.5440400481
Kurtosis-1.252133111
Mean3.814341446
Median Absolute Deviation (MAD)2
Skewness-0.1150760449
Sum524060
Variance4.306266216
MonotonicityNot monotonic
2021-05-29T15:56:11.943456image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
628506
14.9%
221866
11.4%
521415
 
11.2%
319764
 
10.3%
117362
 
9.1%
711621
 
6.1%
411054
 
5.8%
05804
 
3.0%
(Missing)54260
28.3%
ValueCountFrequency (%)
05804
 
3.0%
117362
9.1%
221866
11.4%
319764
10.3%
411054
5.8%
ValueCountFrequency (%)
711621
6.1%
628506
14.9%
521415
11.2%
411054
 
5.8%
319764
10.3%

RELAT_AB
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing50476
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean2.898509662
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:12.076892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.422682617
Coefficient of variation (CV)0.4908324564
Kurtosis-1.152442233
Mean2.898509662
Median Absolute Deviation (MAD)1
Skewness0.127945574
Sum409200
Variance2.024025829
MonotonicityNot monotonic
2021-05-29T15:56:12.194953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
342012
21.9%
133341
17.4%
529068
15.2%
221326
11.1%
415406
 
8.0%
923
 
< 0.1%
(Missing)50476
26.3%
ValueCountFrequency (%)
133341
17.4%
221326
11.1%
342012
21.9%
415406
 
8.0%
529068
15.2%
ValueCountFrequency (%)
923
 
< 0.1%
529068
15.2%
415406
 
8.0%
342012
21.9%
221326
11.1%

RETOURTYP_BK_S
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean3.716311379
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:12.308331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.113932757
Coefficient of variation (CV)0.2997415026
Kurtosis-1.053611203
Mean3.716311379
Median Absolute Deviation (MAD)1
Skewness-0.1369321587
Sum700298
Variance1.240846187
MonotonicityNot monotonic
2021-05-29T15:56:12.421290image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
383297
43.5%
570985
37.0%
415653
 
8.2%
214366
 
7.5%
14138
 
2.2%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
14138
 
2.2%
214366
 
7.5%
383297
43.5%
415653
 
8.2%
570985
37.0%
ValueCountFrequency (%)
570985
37.0%
415653
 
8.2%
383297
43.5%
214366
 
7.5%
14138
 
2.2%

RT_KEIN_ANREIZ
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2.462483881
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:12.526524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.315405169
Coefficient of variation (CV)0.5341781844
Kurtosis-1.517156495
Mean2.462483881
Median Absolute Deviation (MAD)1
Skewness0.1953692323
Sum464028
Variance1.730290758
MonotonicityNot monotonic
2021-05-29T15:56:12.635117image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
166533
34.7%
458452
30.5%
236421
19.0%
322160
 
11.6%
54873
 
2.5%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
166533
34.7%
236421
19.0%
322160
 
11.6%
458452
30.5%
54873
 
2.5%
ValueCountFrequency (%)
54873
 
2.5%
458452
30.5%
322160
 
11.6%
236421
19.0%
166533
34.7%

RT_SCHNAEPPCHEN
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3213
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean4.528515859
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:12.741487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.939708373
Coefficient of variation (CV)0.2075091271
Kurtosis3.558854859
Mean4.528515859
Median Absolute Deviation (MAD)0
Skewness-2.086652629
Sum853349
Variance0.8830518262
MonotonicityNot monotonic
2021-05-29T15:56:12.852363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5140281
73.2%
423168
 
12.1%
312628
 
6.6%
29026
 
4.7%
13336
 
1.7%
(Missing)3213
 
1.7%
ValueCountFrequency (%)
13336
 
1.7%
29026
 
4.7%
312628
 
6.6%
423168
 
12.1%
5140281
73.2%
ValueCountFrequency (%)
5140281
73.2%
423168
 
12.1%
312628
 
6.6%
29026
 
4.7%
13336
 
1.7%

RT_UEBERGROESSE
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing44192
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean2.519652787
Minimum0
Maximum5
Zeros1903
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:12.953912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.356234719
Coefficient of variation (CV)0.538262544
Kurtosis-0.7664115865
Mean2.519652787
Median Absolute Deviation (MAD)1
Skewness0.5205391682
Sum371548
Variance1.839372614
MonotonicityNot monotonic
2021-05-29T15:56:13.099013image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
245510
23.7%
136913
19.3%
329298
15.3%
520377
10.6%
413459
 
7.0%
01903
 
1.0%
(Missing)44192
23.1%
ValueCountFrequency (%)
01903
 
1.0%
136913
19.3%
245510
23.7%
329298
15.3%
413459
 
7.0%
ValueCountFrequency (%)
520377
10.6%
413459
 
7.0%
329298
15.3%
245510
23.7%
136913
19.3%

SEMIO_DOM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.483835285
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:13.180487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.631940929
Coefficient of variation (CV)0.3639609453
Kurtosis-0.9623202524
Mean4.483835285
Median Absolute Deviation (MAD)1
Skewness-0.3881830332
Sum859336
Variance2.663231195
MonotonicityNot monotonic
2021-05-29T15:56:13.271741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
657788
30.2%
350213
26.2%
541949
21.9%
711750
 
6.1%
211645
 
6.1%
49459
 
4.9%
18848
 
4.6%
ValueCountFrequency (%)
18848
 
4.6%
211645
 
6.1%
350213
26.2%
49459
 
4.9%
541949
21.9%
ValueCountFrequency (%)
711750
 
6.1%
657788
30.2%
541949
21.9%
49459
 
4.9%
350213
26.2%

SEMIO_ERL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.408020788
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:13.376852image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.72090874
Coefficient of variation (CV)0.390403953
Kurtosis-1.294525267
Mean4.408020788
Median Absolute Deviation (MAD)1
Skewness0.5593272693
Sum844806
Variance2.961526892
MonotonicityNot monotonic
2021-05-29T15:56:13.497704image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
386415
45.1%
747365
24.7%
436480
19.0%
615148
 
7.9%
22698
 
1.4%
52064
 
1.1%
11482
 
0.8%
ValueCountFrequency (%)
11482
 
0.8%
22698
 
1.4%
386415
45.1%
436480
19.0%
52064
 
1.1%
ValueCountFrequency (%)
747365
24.7%
615148
 
7.9%
52064
 
1.1%
436480
19.0%
386415
45.1%

SEMIO_FAM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.414026465
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:13.633318image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.733128068
Coefficient of variation (CV)0.3926410686
Kurtosis-0.9264928065
Mean4.414026465
Median Absolute Deviation (MAD)1
Skewness-0.5926898725
Sum845957
Variance3.0037329
MonotonicityNot monotonic
2021-05-29T15:56:13.791908image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
673209
38.2%
431100
16.2%
526745
 
14.0%
222554
 
11.8%
317959
 
9.4%
115167
 
7.9%
74918
 
2.6%
ValueCountFrequency (%)
115167
7.9%
222554
11.8%
317959
9.4%
431100
16.2%
526745
14.0%
ValueCountFrequency (%)
74918
 
2.6%
673209
38.2%
526745
 
14.0%
431100
16.2%
317959
 
9.4%

SEMIO_KAEM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.187245633
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:13.943032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.872047112
Coefficient of variation (CV)0.4470831846
Kurtosis-1.363369895
Mean4.187245633
Median Absolute Deviation (MAD)2
Skewness-0.1802487997
Sum802494
Variance3.50456039
MonotonicityNot monotonic
2021-05-29T15:56:14.084311image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
666528
34.7%
352725
27.5%
220042
 
10.5%
118025
 
9.4%
516000
 
8.3%
711238
 
5.9%
47094
 
3.7%
ValueCountFrequency (%)
118025
 
9.4%
220042
 
10.5%
352725
27.5%
47094
 
3.7%
516000
 
8.3%
ValueCountFrequency (%)
711238
 
5.9%
666528
34.7%
516000
 
8.3%
47094
 
3.7%
352725
27.5%

SEMIO_KRIT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.674535095
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:14.180756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.041058635
Coefficient of variation (CV)0.4366335033
Kurtosis-1.297746471
Mean4.674535095
Median Absolute Deviation (MAD)2
Skewness-0.2053341751
Sum895884
Variance4.16592035
MonotonicityNot monotonic
2021-05-29T15:56:14.280365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
764190
33.5%
360179
31.4%
519500
 
10.2%
117475
 
9.1%
616320
 
8.5%
412573
 
6.6%
21415
 
0.7%
ValueCountFrequency (%)
117475
 
9.1%
21415
 
0.7%
360179
31.4%
412573
 
6.6%
519500
 
10.2%
ValueCountFrequency (%)
764190
33.5%
616320
 
8.5%
519500
 
10.2%
412573
 
6.6%
360179
31.4%

SEMIO_KULT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.682497443
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:14.383280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.573090127
Coefficient of variation (CV)0.4271802361
Kurtosis-0.6129899191
Mean3.682497443
Median Absolute Deviation (MAD)1
Skewness-0.00719480503
Sum705758
Variance2.474612548
MonotonicityNot monotonic
2021-05-29T15:56:14.487202image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
357410
30.0%
443919
22.9%
525875
13.5%
125732
13.4%
625367
13.2%
28580
 
4.5%
74769
 
2.5%
ValueCountFrequency (%)
125732
13.4%
28580
 
4.5%
357410
30.0%
443919
22.9%
525875
13.5%
ValueCountFrequency (%)
74769
 
2.5%
625367
13.2%
525875
13.5%
443919
22.9%
357410
30.0%

SEMIO_LUST
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.366476739
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:14.583965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.443103117
Coefficient of variation (CV)0.2689107188
Kurtosis1.079596428
Mean5.366476739
Median Absolute Deviation (MAD)1
Skewness-0.9070567185
Sum1028496
Variance2.082546607
MonotonicityNot monotonic
2021-05-29T15:56:14.688332image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
574598
38.9%
757681
30.1%
424359
 
12.7%
621952
 
11.5%
16302
 
3.3%
23991
 
2.1%
32769
 
1.4%
ValueCountFrequency (%)
16302
 
3.3%
23991
 
2.1%
32769
 
1.4%
424359
 
12.7%
574598
38.9%
ValueCountFrequency (%)
757681
30.1%
621952
 
11.5%
574598
38.9%
424359
 
12.7%
32769
 
1.4%

SEMIO_MAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.883163233
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:14.786020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.840130675
Coefficient of variation (CV)0.4738741497
Kurtosis-1.219700634
Mean3.883163233
Median Absolute Deviation (MAD)2
Skewness-0.3838452685
Sum744216
Variance3.386080903
MonotonicityNot monotonic
2021-05-29T15:56:14.888496image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
553658
28.0%
637054
19.3%
135722
18.6%
427015
14.1%
219913
 
10.4%
314509
 
7.6%
73781
 
2.0%
ValueCountFrequency (%)
135722
18.6%
219913
 
10.4%
314509
 
7.6%
427015
14.1%
553658
28.0%
ValueCountFrequency (%)
73781
 
2.0%
637054
19.3%
553658
28.0%
427015
14.1%
314509
 
7.6%

SEMIO_PFLICHT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.528254336
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:14.985544image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493916302
Coefficient of variation (CV)0.4234151395
Kurtosis-0.8635096163
Mean3.528254336
Median Absolute Deviation (MAD)1
Skewness-0.1434945519
Sum676197
Variance2.231785917
MonotonicityNot monotonic
2021-05-29T15:56:15.089544image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
557209
29.9%
440094
20.9%
233245
17.3%
331720
16.6%
122394
 
11.7%
73792
 
2.0%
63198
 
1.7%
ValueCountFrequency (%)
122394
 
11.7%
233245
17.3%
331720
16.6%
440094
20.9%
557209
29.9%
ValueCountFrequency (%)
73792
 
2.0%
63198
 
1.7%
557209
29.9%
440094
20.9%
331720
16.6%

SEMIO_RAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16587878
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:15.188535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.31622125
Coefficient of variation (CV)0.4157522575
Kurtosis-0.2915751031
Mean3.16587878
Median Absolute Deviation (MAD)1
Skewness-0.006427141384
Sum606747
Variance1.732438379
MonotonicityNot monotonic
2021-05-29T15:56:15.291542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
467155
35.0%
344668
23.3%
229833
15.6%
128171
14.7%
516924
 
8.8%
62641
 
1.4%
72260
 
1.2%
ValueCountFrequency (%)
128171
14.7%
229833
15.6%
344668
23.3%
467155
35.0%
516924
 
8.8%
ValueCountFrequency (%)
72260
 
1.2%
62641
 
1.4%
516924
 
8.8%
467155
35.0%
344668
23.3%

SEMIO_REL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.112787761
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:15.391245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.070958407
Coefficient of variation (CV)0.5035412784
Kurtosis-1.248722527
Mean4.112787761
Median Absolute Deviation (MAD)2
Skewness0.1823009609
Sum788224
Variance4.288868724
MonotonicityNot monotonic
2021-05-29T15:56:15.486337image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
751012
26.6%
438209
19.9%
332567
17.0%
229593
15.4%
120695
10.8%
516734
 
8.7%
62842
 
1.5%
ValueCountFrequency (%)
120695
10.8%
229593
15.4%
332567
17.0%
438209
19.9%
516734
8.7%
ValueCountFrequency (%)
751012
26.6%
62842
 
1.5%
516734
 
8.7%
438209
19.9%
332567
17.0%

SEMIO_SOZ
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.74213679
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:15.574851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q36
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.718039291
Coefficient of variation (CV)0.4591064912
Kurtosis-1.375940563
Mean3.74213679
Median Absolute Deviation (MAD)1
Skewness0.2940602431
Sum717188
Variance2.951659006
MonotonicityNot monotonic
2021-05-29T15:56:15.669680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
262302
32.5%
647835
25.0%
331542
16.5%
426231
13.7%
513417
 
7.0%
15556
 
2.9%
74769
 
2.5%
ValueCountFrequency (%)
15556
 
2.9%
262302
32.5%
331542
16.5%
426231
13.7%
513417
 
7.0%
ValueCountFrequency (%)
74769
 
2.5%
647835
25.0%
513417
 
7.0%
426231
13.7%
331542
16.5%

SEMIO_TRADV
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.919160771
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:15.771993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219223944
Coefficient of variation (CV)0.4176624857
Kurtosis0.268519283
Mean2.919160771
Median Absolute Deviation (MAD)1
Skewness0.1016729042
Sum559463
Variance1.486507025
MonotonicityNot monotonic
2021-05-29T15:56:15.882675image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
370115
36.6%
454945
28.7%
135257
18.4%
222806
 
11.9%
54769
 
2.5%
72064
 
1.1%
61696
 
0.9%
ValueCountFrequency (%)
135257
18.4%
222806
 
11.9%
370115
36.6%
454945
28.7%
54769
 
2.5%
ValueCountFrequency (%)
72064
 
1.1%
61696
 
0.9%
54769
 
2.5%
454945
28.7%
370115
36.6%

SEMIO_VERT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.185278526
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:15.989453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.367406672
Coefficient of variation (CV)0.5656509256
Kurtosis-1.539957163
Mean4.185278526
Median Absolute Deviation (MAD)2
Skewness-0.2238432493
Sum802117
Variance5.60461435
MonotonicityNot monotonic
2021-05-29T15:56:16.096412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
150379
26.3%
746549
24.3%
629192
15.2%
525154
13.1%
418787
 
9.8%
214948
 
7.8%
36643
 
3.5%
ValueCountFrequency (%)
150379
26.3%
214948
 
7.8%
36643
 
3.5%
418787
 
9.8%
525154
13.1%
ValueCountFrequency (%)
746549
24.3%
629192
15.2%
525154
13.1%
418787
9.8%
36643
 
3.5%

SHOPPER_TYP
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9877538455
Minimum-1
Maximum3
Zeros30054
Zeros (%)15.7%
Negative48990
Negative (%)25.6%
Memory size1.5 MiB
2021-05-29T15:56:16.202899image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median1
Q33
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.538679303
Coefficient of variation (CV)1.557755822
Kurtosis-1.459428076
Mean0.9877538455
Median Absolute Deviation (MAD)2
Skewness0.03808198834
Sum189305
Variance2.367533998
MonotonicityNot monotonic
2021-05-29T15:56:16.344784image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
351034
26.6%
-148990
25.6%
137955
19.8%
030054
15.7%
223619
12.3%
ValueCountFrequency (%)
-148990
25.6%
030054
15.7%
137955
19.8%
223619
12.3%
351034
26.6%
ValueCountFrequency (%)
351034
26.6%
223619
12.3%
137955
19.8%
030054
15.7%
-148990
25.6%

SOHO_KZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean0.009865155526
Minimum0
Maximum1
Zeros143625
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:16.464834image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09883269485
Coefficient of variation (CV)10.01836155
Kurtosis96.38020326
Mean0.009865155526
Median Absolute Deviation (MAD)0
Skewness9.918612523
Sum1431
Variance0.009767901571
MonotonicityNot monotonic
2021-05-29T15:56:16.637440image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0143625
74.9%
11431
 
0.7%
(Missing)46596
 
24.3%
ValueCountFrequency (%)
0143625
74.9%
11431
 
0.7%
ValueCountFrequency (%)
11431
 
0.7%
0143625
74.9%

STRUKTURTYP
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing50476
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean2.567759393
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:16.791941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7247884648
Coefficient of variation (CV)0.2822649454
Kurtosis0.2107338692
Mean2.567759393
Median Absolute Deviation (MAD)0
Skewness-1.339548643
Sum362506
Variance0.5253183188
MonotonicityNot monotonic
2021-05-29T15:56:16.907782image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
399912
52.1%
221506
 
11.2%
119758
 
10.3%
(Missing)50476
26.3%
ValueCountFrequency (%)
119758
 
10.3%
221506
 
11.2%
399912
52.1%
ValueCountFrequency (%)
399912
52.1%
221506
 
11.2%
119758
 
10.3%

TITEL_KZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean0.02168128171
Minimum0
Maximum5
Zeros142744
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:17.015388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2104244816
Coefficient of variation (CV)9.705352495
Kurtosis271.7479422
Mean0.02168128171
Median Absolute Deviation (MAD)0
Skewness14.77601324
Sum3145
Variance0.04427846244
MonotonicityNot monotonic
2021-05-29T15:56:17.127790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0142744
74.5%
12017
 
1.1%
4125
 
0.1%
3111
 
0.1%
559
 
< 0.1%
(Missing)46596
 
24.3%
ValueCountFrequency (%)
0142744
74.5%
12017
 
1.1%
3111
 
0.1%
4125
 
0.1%
559
 
< 0.1%
ValueCountFrequency (%)
559
 
< 0.1%
4125
 
0.1%
3111
 
0.1%
12017
 
1.1%
0142744
74.5%

UMFELD_ALT
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing50448
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean2.968010821
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:17.229197image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.312128377
Coefficient of variation (CV)0.4420901593
Kurtosis-1.09648851
Mean2.968010821
Median Absolute Deviation (MAD)1
Skewness-0.0264404704
Sum419095
Variance1.721680877
MonotonicityNot monotonic
2021-05-29T15:56:17.424144image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
336961
19.3%
431237
16.3%
226670
13.9%
125439
13.3%
520897
10.9%
(Missing)50448
26.3%
ValueCountFrequency (%)
125439
13.3%
226670
13.9%
336961
19.3%
431237
16.3%
520897
10.9%
ValueCountFrequency (%)
520897
10.9%
431237
16.3%
336961
19.3%
226670
13.9%
125439
13.3%

UMFELD_JUNG
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)< 0.1%
Missing50448
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean4.335769525
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:17.552674image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9797005376
Coefficient of variation (CV)0.2259577065
Kurtosis1.979689818
Mean4.335769525
Median Absolute Deviation (MAD)0
Skewness-1.574479964
Sum612228
Variance0.9598131434
MonotonicityNot monotonic
2021-05-29T15:56:17.695808image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
583655
43.6%
433756
17.6%
314668
 
7.7%
25800
 
3.0%
13325
 
1.7%
(Missing)50448
26.3%
ValueCountFrequency (%)
13325
 
1.7%
25800
 
3.0%
314668
 
7.7%
433756
17.6%
583655
43.6%
ValueCountFrequency (%)
583655
43.6%
433756
17.6%
314668
 
7.7%
25800
 
3.0%
13325
 
1.7%

UNGLEICHENN_FLAG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean0.08474658063
Minimum0
Maximum1
Zeros132763
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:17.819499image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2785051749
Coefficient of variation (CV)3.286329346
Kurtosis6.892758633
Mean0.08474658063
Median Absolute Deviation (MAD)0
Skewness2.982056941
Sum12293
Variance0.07756513243
MonotonicityNot monotonic
2021-05-29T15:56:17.922576image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0132763
69.3%
112293
 
6.4%
(Missing)46596
 
24.3%
ValueCountFrequency (%)
0132763
69.3%
112293
 
6.4%
ValueCountFrequency (%)
112293
 
6.4%
0132763
69.3%

VERDICHTUNGSRAUM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)< 0.1%
Missing50476
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean5.055087267
Minimum0
Maximum45
Zeros65984
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:18.052625image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile28
Maximum45
Range45
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.250234572
Coefficient of variation (CV)1.829886228
Kurtosis4.88311212
Mean5.055087267
Median Absolute Deviation (MAD)1
Skewness2.329566347
Sum713657
Variance85.56683964
MonotonicityNot monotonic
2021-05-29T15:56:18.191529image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
065984
34.4%
120857
 
10.9%
36799
 
3.5%
66449
 
3.4%
45184
 
2.7%
23732
 
1.9%
73298
 
1.7%
82766
 
1.4%
52063
 
1.1%
241760
 
0.9%
Other values (36)22284
 
11.6%
(Missing)50476
26.3%
ValueCountFrequency (%)
065984
34.4%
120857
 
10.9%
23732
 
1.9%
36799
 
3.5%
45184
 
2.7%
ValueCountFrequency (%)
45378
0.2%
44464
0.2%
43145
 
0.1%
42448
0.2%
4171
 
< 0.1%

VERS_TYP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8490075762
Minimum-1
Maximum2
Zeros0
Zeros (%)0.0%
Negative48990
Negative (%)25.6%
Memory size1.5 MiB
2021-05-29T15:56:18.313806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median1
Q32
95-th percentile2
Maximum2
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.166161791
Coefficient of variation (CV)1.373558757
Kurtosis-1.042477756
Mean0.8490075762
Median Absolute Deviation (MAD)1
Skewness-0.6717112215
Sum162714
Variance1.359933323
MonotonicityNot monotonic
2021-05-29T15:56:18.415509image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
173620
38.4%
269042
36.0%
-148990
25.6%
ValueCountFrequency (%)
-148990
25.6%
173620
38.4%
269042
36.0%
ValueCountFrequency (%)
269042
36.0%
173620
38.4%
-148990
25.6%

VHA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean0.8685335319
Minimum0
Maximum5
Zeros74250
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:18.511769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.320530263
Coefficient of variation (CV)1.52041368
Kurtosis3.115032695
Mean0.8685335319
Median Absolute Deviation (MAD)0
Skewness1.971956014
Sum125986
Variance1.743800175
MonotonicityNot monotonic
2021-05-29T15:56:18.621687image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
074250
38.7%
152376
27.3%
57001
 
3.7%
45259
 
2.7%
35229
 
2.7%
2941
 
0.5%
(Missing)46596
24.3%
ValueCountFrequency (%)
074250
38.7%
152376
27.3%
2941
 
0.5%
35229
 
2.7%
45259
 
2.7%
ValueCountFrequency (%)
57001
 
3.7%
45259
 
2.7%
35229
 
2.7%
2941
 
0.5%
152376
27.3%

VHN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing54260
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean2.429508268
Minimum0
Maximum4
Zeros5804
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:18.721951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.148821197
Coefficient of variation (CV)0.4728616125
Kurtosis-0.896137573
Mean2.429508268
Median Absolute Deviation (MAD)1
Skewness-0.138773734
Sum333795
Variance1.319790143
MonotonicityNot monotonic
2021-05-29T15:56:18.833598image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
243849
22.9%
431906
16.6%
331320
16.3%
124513
12.8%
05804
 
3.0%
(Missing)54260
28.3%
ValueCountFrequency (%)
05804
 
3.0%
124513
12.8%
243849
22.9%
331320
16.3%
431906
16.6%
ValueCountFrequency (%)
431906
16.6%
331320
16.3%
243849
22.9%
124513
12.8%
05804
 
3.0%

VK_DHT4A
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing47871
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean4.374416648
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:18.948936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.924355416
Coefficient of variation (CV)0.6685132331
Kurtosis-1.094468891
Mean4.374416648
Median Absolute Deviation (MAD)3
Skewness0.4529847245
Sum628958
Variance8.551854599
MonotonicityNot monotonic
2021-05-29T15:56:19.066614image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
131747
16.6%
221120
11.0%
316768
 
8.7%
714282
 
7.5%
411509
 
6.0%
611365
 
5.9%
510685
 
5.6%
108865
 
4.6%
98842
 
4.6%
88588
 
4.5%
(Missing)47871
25.0%
ValueCountFrequency (%)
131747
16.6%
221120
11.0%
316768
8.7%
411509
 
6.0%
510685
 
5.6%
ValueCountFrequency (%)
1110
 
< 0.1%
108865
4.6%
98842
4.6%
88588
4.5%
714282
7.5%

VK_DISTANZ
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)< 0.1%
Missing47871
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean4.564768641
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:19.177804image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile10
Maximum13
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.887034938
Coefficient of variation (CV)0.6324602986
Kurtosis-0.432615138
Mean4.564768641
Median Absolute Deviation (MAD)2
Skewness0.5634636033
Sum656327
Variance8.334970733
MonotonicityNot monotonic
2021-05-29T15:56:19.311395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
127736
14.5%
322378
11.7%
620769
10.8%
415262
 
8.0%
213172
 
6.9%
712612
 
6.6%
89272
 
4.8%
58223
 
4.3%
95905
 
3.1%
103406
 
1.8%
Other values (3)5046
 
2.6%
(Missing)47871
25.0%
ValueCountFrequency (%)
127736
14.5%
213172
6.9%
322378
11.7%
415262
8.0%
58223
 
4.3%
ValueCountFrequency (%)
13722
 
0.4%
121721
 
0.9%
112603
1.4%
103406
1.8%
95905
3.1%

VK_ZG11
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)< 0.1%
Missing47871
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean3.168867931
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:19.433563image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.233515815
Coefficient of variation (CV)0.7048308303
Kurtosis1.753072506
Mean3.168867931
Median Absolute Deviation (MAD)1
Skewness1.381714244
Sum455623
Variance4.988592896
MonotonicityNot monotonic
2021-05-29T15:56:19.566287image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
136846
19.2%
233192
17.3%
325412
13.3%
417012
 
8.9%
512225
 
6.4%
66625
 
3.5%
73522
 
1.8%
83113
 
1.6%
92582
 
1.3%
111918
 
1.0%
(Missing)47871
25.0%
ValueCountFrequency (%)
136846
19.2%
233192
17.3%
325412
13.3%
417012
8.9%
512225
 
6.4%
ValueCountFrequency (%)
111918
1.0%
101334
 
0.7%
92582
1.3%
83113
1.6%
73522
1.8%

W_KEIT_KIND_HH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing53742
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean4.152715539
Minimum0
Maximum6
Zeros3195
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:19.682159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.974374585
Coefficient of variation (CV)0.4754418082
Kurtosis-1.322027583
Mean4.152715539
Median Absolute Deviation (MAD)1
Skewness-0.4630565154
Sum572701
Variance3.898155001
MonotonicityNot monotonic
2021-05-29T15:56:19.802093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
663841
33.3%
225596
13.4%
414515
 
7.6%
112647
 
6.6%
311412
 
6.0%
56704
 
3.5%
03195
 
1.7%
(Missing)53742
28.0%
ValueCountFrequency (%)
03195
 
1.7%
112647
6.6%
225596
13.4%
311412
6.0%
414515
7.6%
ValueCountFrequency (%)
663841
33.3%
56704
 
3.5%
414515
 
7.6%
311412
 
6.0%
225596
13.4%

WOHNDAUER_2008
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing46596
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean8.646371057
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:19.921477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.154000554
Coefficient of variation (CV)0.1334664619
Kurtosis13.26062379
Mean8.646371057
Median Absolute Deviation (MAD)0
Skewness-3.689679911
Sum1254208
Variance1.331717278
MonotonicityNot monotonic
2021-05-29T15:56:20.026805image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9127266
66.4%
86924
 
3.6%
42476
 
1.3%
62351
 
1.2%
32115
 
1.1%
71993
 
1.0%
51784
 
0.9%
198
 
0.1%
249
 
< 0.1%
(Missing)46596
 
24.3%
ValueCountFrequency (%)
198
 
0.1%
249
 
< 0.1%
32115
1.1%
42476
1.3%
51784
0.9%
ValueCountFrequency (%)
9127266
66.4%
86924
 
3.6%
71993
 
1.0%
62351
 
1.2%
51784
 
0.9%

WOHNLAGE
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing49927
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.723132828
Minimum0
Maximum8
Zeros1107
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:20.131665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.095540209
Coefficient of variation (CV)0.5628432574
Kurtosis-0.9042610323
Mean3.723132828
Median Absolute Deviation (MAD)1
Skewness0.5797956838
Sum527661
Variance4.391288766
MonotonicityNot monotonic
2021-05-29T15:56:20.240221image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
345074
23.5%
731328
16.3%
224427
12.7%
116567
 
8.6%
415096
 
7.9%
55890
 
3.1%
82236
 
1.2%
01107
 
0.6%
(Missing)49927
26.1%
ValueCountFrequency (%)
01107
 
0.6%
116567
 
8.6%
224427
12.7%
345074
23.5%
415096
 
7.9%
ValueCountFrequency (%)
82236
 
1.2%
731328
16.3%
55890
 
3.1%
415096
 
7.9%
345074
23.5%

ZABEOTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.576805877
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:20.336551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.168485772
Coefficient of variation (CV)0.4534628635
Kurtosis0.4729641663
Mean2.576805877
Median Absolute Deviation (MAD)0
Skewness0.2822703633
Sum493850
Variance1.365358999
MonotonicityNot monotonic
2021-05-29T15:56:20.444731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3108682
56.7%
154347
28.4%
414809
 
7.7%
26899
 
3.6%
65848
 
3.1%
51067
 
0.6%
ValueCountFrequency (%)
154347
28.4%
26899
 
3.6%
3108682
56.7%
414809
 
7.7%
51067
 
0.6%
ValueCountFrequency (%)
65848
 
3.1%
51067
 
0.6%
414809
 
7.7%
3108682
56.7%
26899
 
3.6%

PRODUCT_GROUP
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
COSMETIC_AND_FOOD
100860 
FOOD
47382 
COSMETIC
43410 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCOSMETIC_AND_FOOD
2nd rowFOOD
3rd rowCOSMETIC_AND_FOOD
4th rowCOSMETIC
5th rowFOOD

Common Values

ValueCountFrequency (%)
COSMETIC_AND_FOOD100860
52.6%
FOOD47382
24.7%
COSMETIC43410
22.7%

CUSTOMER_GROUP
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
MULTI_BUYER
132238 
SINGLE_BUYER
59414 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMULTI_BUYER
2nd rowSINGLE_BUYER
3rd rowMULTI_BUYER
4th rowMULTI_BUYER
5th rowMULTI_BUYER

Common Values

ValueCountFrequency (%)
MULTI_BUYER132238
69.0%
SINGLE_BUYER59414
31.0%

ONLINE_PURCHASE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09024690585
Minimum0
Maximum1
Zeros174356
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:20.821051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2865359144
Coefficient of variation (CV)3.175022032
Kurtosis6.180104181
Mean0.09024690585
Median Absolute Deviation (MAD)0
Skewness2.860076867
Sum17296
Variance0.08210283023
MonotonicityNot monotonic
2021-05-29T15:56:20.983382image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0174356
91.0%
117296
 
9.0%
ValueCountFrequency (%)
0174356
91.0%
117296
 
9.0%
ValueCountFrequency (%)
117296
 
9.0%
0174356
91.0%

ANREDE_KZ
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.376432284
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:21.123811image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.484491738
Coefficient of variation (CV)0.3519909725
Kurtosis-1.739818723
Mean1.376432284
Median Absolute Deviation (MAD)0
Skewness0.5100974745
Sum263796
Variance0.2347322442
MonotonicityNot monotonic
2021-05-29T15:56:21.261636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1119508
62.4%
272144
37.6%
ValueCountFrequency (%)
1119508
62.4%
272144
37.6%
ValueCountFrequency (%)
272144
37.6%
1119508
62.4%

ALTERSKATEGORIE_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.060907269
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 MiB
2021-05-29T15:56:21.374810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08625367
Coefficient of variation (CV)0.3548796401
Kurtosis0.3778795139
Mean3.060907269
Median Absolute Deviation (MAD)1
Skewness-0.6090711038
Sum586629
Variance1.179947036
MonotonicityNot monotonic
2021-05-29T15:56:21.491735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
485834
44.8%
358364
30.5%
128387
 
14.8%
218827
 
9.8%
9240
 
0.1%
ValueCountFrequency (%)
128387
 
14.8%
218827
 
9.8%
358364
30.5%
485834
44.8%
9240
 
0.1%
ValueCountFrequency (%)
9240
 
0.1%
485834
44.8%
358364
30.5%
218827
 
9.8%
128387
 
14.8%